AbbrAnnotation() CoreAnnotations.AbbrAnnotation
AbbreviationMap(boolean) RobustTokenizer.AbbreviationMap
Creates a new instance of AbreviationMap with some know abbreviations
AbgeneAnnotation() CoreAnnotations.AbgeneAnnotation
about() TregexGUI
aboveLineSkip TreeJPanel
absoluteDifference(Counter<E>, Counter<E>) Counters
Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) Distribution
AbstractCachingDiffFloatFunction edu.stanford.nlp.optimization
AbstractCachingDiffFloatFunction() AbstractCachingDiffFloatFunction
AbstractCachingDiffFunction edu.stanford.nlp.optimization
A differentiable function that caches the last evaluation of its value and
derivative.
AbstractCachingDiffFunction() AbstractCachingDiffFunction
AbstractCollinsHeadFinder edu.stanford.nlp.trees
A base class for a HeadFinder similar to the one described in
Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) AbstractCollinsHeadFinder
Construct a HeadFinder.
AbstractCoreLabel edu.stanford.nlp.ling
AbstractCounter E > - Class in edu.stanford.nlp.stats
Default implementations of all the convenience methods provided by
Counter.
AbstractCounter() AbstractCounter
AbstractDependencyGrammar edu.stanford.nlp.parser.lexparser
An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) AbstractDependencyGrammar
AbstractEval edu.stanford.nlp.parser.metrics
A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() AbstractEval
AbstractEval(boolean) AbstractEval
AbstractEval(String) AbstractEval
AbstractEval(String, boolean) AbstractEval
AbstractEval.CatErrorEval edu.stanford.nlp.parser.metrics
This class counts which categories are over and underproposed in trees.
AbstractEval.RuleErrorEval edu.stanford.nlp.parser.metrics
AbstractEval.ScoreEval edu.stanford.nlp.parser.metrics
This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractEvaluate edu.stanford.nlp.sentiment
AbstractEvaluate(RNNOptions) AbstractEvaluate
AbstractEvaluator() EvalUtils.AbstractEvaluator
AbstractIterator E > - Class in edu.stanford.nlp.util
Iterator with remove() defined to throw an
UnsupportedOperationException.
AbstractIterator() AbstractIterator
AbstractLinearClassifierFactory L ,F > - Class in edu.stanford.nlp.classify
AbstractLinearClassifierFactory() AbstractLinearClassifierFactory
AbstractListProcessor IN ,OUT ,L ,F > - Class in edu.stanford.nlp.process
Class AbstractListProcessor
AbstractListProcessor() AbstractListProcessor
AbstractMatchCostFunction() MatchCostFunction.AbstractMatchCostFunction
AbstractSequenceClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie
This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier(Properties) AbstractSequenceClassifier
Construct a SeqClassifierFlags object based on the passed in properties,
and then call the other constructor.
AbstractSequenceClassifier(SeqClassifierFlags) AbstractSequenceClassifier
Initialize the featureFactory and other variables based on the passed in
flags.
AbstractStochasticCachingDiffFunction edu.stanford.nlp.optimization
AbstractStochasticCachingDiffFunction() AbstractStochasticCachingDiffFunction
AbstractStochasticCachingDiffFunction.SamplingMethod edu.stanford.nlp.optimization
AbstractStochasticCachingDiffUpdateFunction edu.stanford.nlp.optimization
Function for stochastic calculations that does update in place
(instead of maintaining and returning the derivative).
AbstractStochasticCachingDiffUpdateFunction() AbstractStochasticCachingDiffUpdateFunction
AbstractStringAnnotationPattern() ComplexNodePattern.AbstractStringAnnotationPattern
AbstractTextAnnotationCreator edu.stanford.nlp.pipeline
Creates a stub implementation for creating annotation from
various input sources using String as the main input source
AbstractTextAnnotationCreator() AbstractTextAnnotationCreator
AbstractTokenizer T > - Class in edu.stanford.nlp.process
An abstract tokenizer.
AbstractTokenizer() AbstractTokenizer
AbstractTreebankLanguagePack edu.stanford.nlp.trees
This provides an implementation of parts of the TreebankLanguagePack
API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams edu.stanford.nlp.parser.lexparser
An abstract class providing a common method base from which to
complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) AbstractTreebankParserParams
Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction edu.stanford.nlp.parser.lexparser
Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper edu.stanford.nlp.parser.lexparser
The job of this class is to remove subcategorizations from
tag and category nodes, so as to put a tree in a suitable
state for evaluation.
AbstractTreebankParserParams.SubcategoryStripper edu.stanford.nlp.parser.lexparser
The job of this class is to remove subcategorizations from
tag and category nodes, so as to put a tree in a suitable
state for evaluation.
AbstractTreeExtractor T > - Class in edu.stanford.nlp.parser.lexparser
An abstract superclass for parser classes that extract counts from Trees.
AbstractTreeExtractor(Options) AbstractTreeExtractor
AbstractUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
AbstractUnknownWordModelTrainer() AbstractUnknownWordModelTrainer
AbstrAnnotation() CoreAnnotations.AbstrAnnotation
accept(File) ExtensionFileFilter
Checks whether a file satisfies the selection filter.
ACCEPT Lexer
accept(File) NumberRangeFileFilter
Checks whether a file satisfies the number range selection filter.
accept(File) NumberRangesFileFilter
Checks whether a file satisfies the number range selection filter.
accept(String) NumberRangesFileFilter
Checks whether a String satisfies the number range selection filter.
accept(File) RegExFileFilter
Checks whether a file satisfies the selection filter.
acceptFilter() Filters
The acceptFilter accepts everything.
accepting DFSAState
accuracy() PRCurve
AccuracyStats L > - Class in edu.stanford.nlp.stats
Utility class for aggregating counts of true positives, false positives, and
false negatives and computing precision/recall/F1 stats.
AccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, L) AccuracyStats
AccuracyStats(L, String) AccuracyStats
ACE2004_PROP Constants
ACE2005_PROP Constants
AceCharSeq edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE <charseq> construct.
AceCharSeq(String, int, int) AceCharSeq
Token that incorporates this whole char sequence, e.g.
AceDocument edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores the ACE elements annotated in this document
AceDocument(String) AceDocument
AceDomReader edu.stanford.nlp.ie.machinereading.domains.ace.reader
DOM reader for an ACE specification.
AceDomReader() AceDomReader
AceElement edu.stanford.nlp.ie.machinereading.domains.ace.reader
Base class for all ACE annotation elements.
AceElement(String) AceElement
AceEntity edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE <entity> construct.
AceEntity(String, String, String, String) AceEntity
AceEntityMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE construct
AceEntityMention(String, String, String, AceCharSeq, AceCharSeq) AceEntityMention
AceEvent edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE event
AceEvent(String, String, String, String, String, String, String) AceEvent
AceEventMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE event mention
AceEventMention(String, AceCharSeq, AceCharSeq) AceEventMention
AceEventMentionArgument edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceEventMentionArgument(String, AceEntityMention) AceEventMentionArgument
AceMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceMention(String, AceCharSeq) AceMention
AceMentionArgument edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceMentionArgument(String, AceEntityMention, String) AceMentionArgument
ACEMentionExtractor edu.stanford.nlp.dcoref
Extracts <COREF> mentions from a file annotated in ACE format (ACE2004, ACE2005).
ACEMentionExtractor(Dictionaries, Properties, Semantics) ACEMentionExtractor
ACEMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) ACEMentionExtractor
AceReader edu.stanford.nlp.ie.machinereading.domains.ace
Simple wrapper of Mihai's ACE code to ie.machinereading.structure objects.
AceReader() AceReader
Make an AceReader.
AceReader(StanfordCoreNLP, boolean) AceReader
AceReader(StanfordCoreNLP, boolean, String) AceReader
AceRelation edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE relation
AceRelation(String, String, String, String, String) AceRelation
AceRelationMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE relation mention
AceRelationMention(String, AceCharSeq, String) AceRelationMention
AceRelationMentionArgument edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceRelationMentionArgument(String, AceEntityMention) AceRelationMentionArgument
AceSentenceSegmenter edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceSentenceSegmenter() AceSentenceSegmenter
AceToken edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceToken(String, String, String, String, String, String, String, int) AceToken
Constructs an AceToken from a tokenized line generated by Tokey
acos(double) SloppyMath
Compute acos very quickly by directly looking up the value.
ACRONYM RobustTokenizer
acronymCache Document
acronymCache Document
AcronymMatcher edu.stanford.nlp.util
A simple class with a variety of acronym matching utilities.
AcronymMatcher() AcronymMatcher
Action(Env) TokenSequenceParser
actionPerformed(ActionEvent) InputPanel
actionPerformed(ActionEvent) TregexGUI
actionPerformed(ActionEvent) TregexGUI.TransferActionListener
activate(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatureSpecification
active SequenceMatchRules.AnnotationExtractRule
activeFeatures MorphoFeatureSpecification
adaAlpha Config
Initial global learning rate for AdaGrad training
adaDeltaRho SeqClassifierFlags
adaEps Config
An epsilon value added to the denominator of the AdaGrad
expression for numerical stability
adaGrad(double, double) SimpleLinearClassifier
adaGradEps SeqClassifierFlags
adagradResetFrequency RNNTrainOptions
How many epochs between resets of the adagrad learning rates.
adapt(String, Dataset<String, String>, DocumentReaderAndWriter<IN>) CMMClassifier
adapt(ObjectBank<List<IN>>, Dataset<String, String>) CMMClassifier
adapt() JavaUtilLoggingAdaptor
AdaptedGaussianPriorObjectiveFunction L ,F > - Class in edu.stanford.nlp.classify
Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F>, LogPrior, double[][]) AdaptedGaussianPriorObjectiveFunction
adaptFile SeqClassifierFlags
NER adaptation (Gaussian prior) parameters.
adaptSigma SeqClassifierFlags
adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) LinearClassifier
adaptWeights(double[][], GeneralDataset<L, F>) LinearClassifierFactory
Adapt classifier (adjust the mean of Gaussian prior).
add(Datum<L, F>) Dataset
add(Collection<F>, L) Dataset
add(Collection<F>, L, boolean) Dataset
add(int[], int) Dataset
Adds a datums defined by feature indices and label index
Careful with this one! Make sure that all indices are valid!
add(Datum<L, F>) GeneralDataset
add(Datum<L, F>) RVFDataset
add(Datum<L, F>, String, String) RVFDataset
add(Datum<L, F>) WeightedDataset
add(Collection<F>, L) WeightedDataset
add(Datum<L, F>, float) WeightedDataset
add(Collection<F>, L, float) WeightedDataset
add(RVFDatum<L, F>, float) WeightedRVFDataset
Add a datum, with a given weight.
add(Datum<L, F>) WeightedRVFDataset add(Datum<L, F>, String, String) WeightedRVFDataset add(V, V, E) DirectedMultiGraph
adds vertices (if not already in the graph) and the edge between them
add(V, V, E) Graph
Adds vertices (if not already in the graph) and the edge between them.
add(K, NodePattern) ComplexNodePattern
add(String) PhraseTable.PhraseStringCollection
add(Expression) Expressions.ListExpression
add(double[], double) ArrayMath
add(float[], double) ArrayMath
add(Experiments) Experiments
add(Feature) Features
add(Feature) Problem
add(E) ObjectBank
Unsupported Operation.
add(Object) ReaderIteratorFactory
Adds an Object to the underlying Collection of input sources.
add(double, double[], double[], int, double) QNMinimizer.Record
add(Map<String, DataInstance>, boolean) InvertedIndexByTokens
add(List<CoreLabel>, String, boolean) InvertedIndexByTokens
add(Map<String, DataInstance>, boolean) SentenceIndex
addProcessedText is true when inserting sentences for the first time
add(List<CoreLabel>, String, boolean) SentenceIndex
add(List<IN>) ObjectBankWrapper
add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) Counters
For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
add(Counter<E>, Collection<E>) Counters
add(Counter<E>, Counter<E>) Counters
add(Counter<E>, double) Counters
increments every key in the counter by value
add(FeatureKey) TaggerExperiments
Adds a FeatureKey to the set of known FeatureKeys.
add(int, History, int) TemplateHash
add(String) TTags
add(SUTime.Duration) JollyDayHolidays.JollyHoliday
add(SUTime.Duration) SUTime.Duration
add(SUTime.Duration) SUTime.DurationRange
add(SUTime.Duration) SUTime.DurationWithFields
add(SUTime.Duration) SUTime.DurationWithMillis
add(SUTime.Duration) SUTime.GroundedTime
add(SUTime.Duration) SUTime.InexactTime
add(SUTime.Duration) SUTime.OrdinalTime
add(SUTime.Duration) SUTime.PartialTime
add(SUTime.Duration) SUTime.Range
add(SUTime.Duration, int) SUTime.Range
add(SUTime.Duration) SUTime.RefTime
add(SUTime.Duration) SUTime.RelativeTime
add(SUTime.Duration) SUTime.SimpleTime
add(SUTime.Duration) SUTime.Time
add(SUTime.Duration) SUTime.TimeWithRange
add(int, Tree) MemoryTreebank
add(Tree) MemoryTreebank
add(E) ArrayHeap
Adds an object to the heap.
add(E) ArraySet
Adds element to set.
add(T) Beam
add(E) BinaryHeapPriorityQueue
Adds an object to the queue with the minimum priority
(Double.NEGATIVE_INFINITY).
add(E, double) BinaryHeapPriorityQueue
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
add(K, V) CollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(E) ConcurrentHashIndex
add(U, U) ConfusionMatrix
Increments the entry for this guess and gold by 1.
add(U, U, int) ConfusionMatrix
Increments the entry for this guess and gold by the given increment amount.
add(K, V) DeltaCollectionValuedMap
add(E) DeltaIndex
add(E, double) FixedPrioritiesPriorityQueue
Adds a key to the queue with the given priority.
add(E) HashIndex
Adds an object to the Index.
add(E) Heap
Adds the object to the heap.
add(E) IdentityHashSet
Adds the specified element to this set if it is not already present.
add(E) Index
add(T) IntervalTree
add(IntervalTree.TreeNode<E, T>, T) IntervalTree
add(IntervalTree.TreeNode<E, T>, T, double) IntervalTree
add(int) IntUni
add(U, V) MapList
add(U, Collection<V>) MapList
Using the iterator order of values in the value, adds the
individual elements into the list under the given key.
add(E) MaxSizeConcurrentHashSet
Adds the element if the set is not already full.
add(E, double) PriorityQueue
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
add(K1, K2, V) TwoDimensionalCollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(K1, K2, Collection<V>) TwoDimensionalCollectionValuedMap
Adds a collection of values to the Collection mapped to by the key.
add(K1, K2) TwoDimensionalSet
ADD_FUNCTION ValueFunctions
addAll(Iterable<? extends Datum<L, F>>) GeneralDataset
Adds all Datums in the given collection of data to this dataset
addAll(Iterable<? extends Datum<L, F>>) RVFDataset
addAll(Collection<? extends String>) PhraseTable.PhraseStringCollection
addAll(List<Expression>) Expressions.ListExpression
addAll(Collection<? extends E>) ObjectBank
Unsupported Operation.
addAll(Collection<?>) ReaderIteratorFactory
Adds all Objects in Collection c to the underlying Collection of
input sources.
addAll(List<TaggedWord>) BaseLexicon
Not yet implemented.
addAll(List<TaggedWord>, double) BaseLexicon
Not yet implemented.
addAll(Collection<? extends List<IN>>) ObjectBankWrapper
addAll(Counter<E>) AbstractCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) ClassicCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) Counter
Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) IntCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) TwoDimensionalCounter
addAll(K1, Counter<K2>) TwoDimensionalCounter
addAll(TwoDimensionalIntCounter<K1, K2>) TwoDimensionalIntCounter
addAll(K1, IntCounter<K2>) TwoDimensionalIntCounter
addAll(int, Collection<? extends Tree>) MemoryTreebank
addAll(Collection<T>, Iterable<? extends T>) CollectionUtils
Add all the items from an iterable to a collection.
addAll(K, Collection<V>) CollectionValuedMap
Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) CollectionValuedMap
Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) CollectionValuedMap
addAll(Collection<? extends E>) ConcurrentHashIndex
addAll(Map<K, V>) DeltaCollectionValuedMap
Adds all of the mappings in m to this CollectionValuedMap.
addAll(Collection<? extends E>) DeltaIndex
addAll(Collection<? extends E>) HashIndex
Adds every member of Collection to the Index.
addAll(Collection<? extends E>) Index
addAll(Iterator<? extends T>, Collection<T>) Iterables
Adds all of the Objects returned by the given Iterator into the given Collection.
addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) Maps
Adds all of the keys in from to to,
applying function to the values to transform them
from V2 to V1.
addAll(Collection<? extends E>) MaxSizeConcurrentHashSet
Add all the items.
addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) TwoDimensionalMap
Adds all of the entries in the other map, performing
function on them to transform the values
addAll(TwoDimensionalSet<? extends K1, ? extends K2>) TwoDimensionalSet
addAllAppositions(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
addAllArg(Iterable<? extends CoreNLPProtos.Entity>) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addAllArgName(Iterable<String>) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
addAllBelongToLists(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
addAllChild(Iterable<? extends CoreNLPProtos.ParseTree>) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addAllCorefChain(Iterable<? extends CoreNLPProtos.CorefChain>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addAllDependents(Iterable<String>) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
addAllEdge(Iterable<? extends CoreNLPProtos.DependencyGraph.Edge>) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addAllEntailedSentence(Iterable<? extends CoreNLPProtos.SentenceFragment>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addAllEntity(Iterable<? extends CoreNLPProtos.Entity>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) FeatureFactory
Makes more complete feature names out of partial feature names, by
adding a suffix to the String feature name, adding results to an
accumulator
addAllKBestParseTrees(Iterable<? extends CoreNLPProtos.ParseTree>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addAllKey(Iterable<? extends Integer>) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
addAllKey(Iterable<String>) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
addAllKeys(TwoDimensionalMap<? extends K1, ? extends K2, ?>) TwoDimensionalSet
Adds all the keys in the given TwoDimensionalMap.
addAllListMembers(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
addAllMacros(TregexPatternCompiler, String, String) Macros
addAllMacros(TregexPatternCompiler, BufferedReader) Macros
addAllMention(Iterable<? extends CoreNLPProtos.CorefChain.CorefMention>) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addAllMentions(Iterable<? extends Integer>) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addAllNode(Iterable<? extends CoreNLPProtos.DependencyGraph.Node>) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addAllObjectTokens(Iterable<? extends Integer>) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 objectTokens = 7;
addAllOpenieTriple(Iterable<? extends CoreNLPProtos.OpenIETriple>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addAllOriginalSpan(Iterable<? extends CoreNLPProtos.IndexedWord>) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addAllPredicateNominatives(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
addAllPreprocessedTerms(Iterable<String>) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
addAllQuote(Iterable<? extends CoreNLPProtos.Quote>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addAllRelation(Iterable<? extends CoreNLPProtos.Relation>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addAllRelationTokens(Iterable<? extends Integer>) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 relationTokens = 6;
addAllRelativePronouns(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
addAllRoot(Iterable<? extends Integer>) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
addAllSentence(Iterable<? extends CoreNLPProtos.Sentence>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addAllSentencelessToken(Iterable<? extends CoreNLPProtos.Token>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addAllSentenceWords(Iterable<? extends CoreNLPProtos.IndexedWord>) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addAllSubjectTokens(Iterable<? extends Integer>) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 subjectTokens = 5;
addAllToken(Iterable<? extends CoreNLPProtos.Token>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addAllTokenIndex(Iterable<? extends Integer>) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
addAllValue(Iterable<String>) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
addAllValue(Iterable<String>) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
addAllWithSourcesAndIds(RVFDataset<L, F>) RVFDataset
addAllXmlContext(Iterable<String>) CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
addAnnotator(Annotator) AnnotationPipeline
addApposition(Mention) Mention
Find apposition
addApposition(Mention) Mention
Find apposition
addAppositions(int) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
addArc(Object, Object, Object, Object) TransducerGraph
addArc(TransducerGraph.Arc) TransducerGraph
addArc(int, int, String) Configuration
addArg(AceEntityMention, String) AceEventMention
addArg(ExtractionObject, String, boolean) EventMention
addArg(ExtractionObject) RelationMention
addArg(CoreNLPProtos.Entity) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(CoreNLPProtos.Entity.Builder) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity.Builder) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgName(String) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
addArgNameBytes(ByteString) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
addArgs(List<ExtractionObject>, List<String>, boolean) EventMention
addBelongsToList(Mention) Mention
addBelongsToList(Mention) Mention
addBelongToLists(int) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
addBiasToEmbedding SeqClassifierFlags
addBinaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) BasicFeatureFactory
addBinaryFeatures(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent) BasicFeatureFactory
addBoundary() Lattice
addCapitalFeatures SeqClassifierFlags
addChild(CoreNLPProtos.ParseTree) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, Tree) Tree
Adds the tree t at the index position among the daughters.
addChild(Tree) Tree
Adds the tree t at the last index position among the daughters.
addChild(int, Tree) TreeGraphNode
Adds a child in the ith location.
addChild(LogRecordHandler) Redwood.RecordHandlerTree
addChildBuilder() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildBuilder(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildTree(Redwood.RecordHandlerTree) Redwood.RecordHandlerTree
addComment(String) SemanticGraph
Store a comment line with this semantic graph.
addConstraint(ParserConstraint) Lattice
addCorefChain(CoreNLPProtos.CorefChain) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(CoreNLPProtos.CorefChain.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCounts(PrecisionRecallStats) PrecisionRecallStats
Adds the counts from the given stats to the counts of this stats.
addDependencyPathFeatures(Counter<String>, RelationMention, EntityMention, EntityMention, List<String>, List<String>, Logger) BasicRelationFeatureFactory
addDependents(String) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
addDependentsBytes(ByteString) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
addDistsimFeatures(List<String>, CoreLabel, String) DistsimFeatureFactory
addEdge(LatticeEdge) Lattice
addEdge(CoreNLPProtos.DependencyGraph.Edge) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(CoreNLPProtos.DependencyGraph.Edge.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) SemanticGraph
addEdge(SemanticGraphEdge) SemanticGraph
addEdgeBuilder() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeFeatures(List<String>, State, String, String, Tree, Tree) BasicFeatureFactory
Could potentially add the tags and words for the left and right
ends of the tree.
addEdgeFeatures2(List<String>, State, String, Tree) BasicFeatureFactory
This option also does not seem to help
addEntailedSentence(CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addEntailedSentence(int, CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addEntailedSentence(CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addEntailedSentenceBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addEntailedSentenceBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
addEntity(AceEntity) AceDocument
addEntity(CoreNLPProtos.Entity) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(CoreNLPProtos.Entity.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityMention(AceEntityMention) AceDocument
addEntityMention(CoreMap, EntityMention) AnnotationUtils
addEntityMentions(CoreMap, Collection<EntityMention>) AnnotationUtils
addEvent(AceEvent) AceDocument
addEventMention(AceEventMention) AceDocument
addEventMention(AceEventMention) AceEntityMention
addEventMention(CoreMap, EventMention) AnnotationUtils
addEventMentions(CoreMap, Collection<EventMention>) AnnotationUtils
addExample(List<Integer>, List<Integer>) Dataset
addExtraTrigramFeatures(List<String>, CoreLabel, CoreLabel, CoreLabel, CoreLabel, CoreLabel) BasicFeatureFactory
Also did not seem to help
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) MorphoFeatures
addFeature(String) TregexPoweredTreebankParserParams
Enable an annotation feature.
addFeature(String, double) CandidatePhrase
addFeatureIndices(int[]) Dataset
addFeatures(Collection<F>) Dataset
addFeatures(Collection<F>, boolean) Dataset
addFeatures(Counter<String>, RelationMention, List<String>) BasicRelationFeatureFactory
addFeatures(Counter<String>, RelationMention, List<String>, Logger) BasicRelationFeatureFactory
Creates all features for the datum corresponding to this relation mention
Note: this assumes binary relations where both arguments are EntityMention
addFeatures(Collection<String>) CandidatePhrase
addFeatures(SemanticGraph, Tree, boolean, boolean) UniversalDependenciesFeatureAnnotator
addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) FileTreeModel
Forks off a new thread to load your files based on the filters you set in the interface
addFilter(Predicate<T>) Filters.ConjFilter
addFilter(Predicate<T>) Filters.DisjFilter
addFN(int) PrecisionRecallStats
Adds the given number to the count of false negatives.
addForce(Partial, Period, int) JodaTimeUtils
addForm(String) PhraseTable.Phrase
addFP(int) PrecisionRecallStats
Adds the given number to the count of false positives.
addGoldMentions(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, List<List<Mention>>) CorefMentionFinder
addGuess(String, String, boolean) MultiClassChunkEvalStats
addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) MultiClassChunkEvalStats
addGuess(L, L) MultiClassPrecisionRecallExtendedStats
addGuess(L, L, boolean) MultiClassPrecisionRecallExtendedStats
addGuesses(List<L>, List<L>) MultiClassPrecisionRecallExtendedStats
addHcorefProps(Properties) StatisticalCorefProperties
addHighlight(JTextField, MouseEvent, MouseEvent) HighlightUtils
Highlight the given label from the first mouse event to the second
Returns true if the highlight was successful, false otherwise.
addIncompatible(Mention, Mention) Document
addIncompatible(Mention, Mention) Document
addIndvWordsFromPhrasesExceptLastAsNeg ConstantsAndVariables
For example, if positive seed dict contains "cancer" and "breast cancer" then "breast" is included as negative
addInPlace(double[], double) ArrayMath
Increases the values in this array by b.
addInPlace(float[], double) ArrayMath
Increases the values in this array by b.
addInPlace(Counter<E>, Counter<E>, double) Counters
Sets each value of target to be target[k]+scale*arg[k] for all keys k in
target.
addInPlace(Counter<E>, Counter<E>) Counters
Sets each value of target to be target[k]+arg[k] for all keys k in arg.
addInPlace(double[], Counter<E>, Index<E>) Counters
Sets each value of double[] target to be
target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) Counters
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale *
arg[u,v].
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) Counters
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v].
addInPlace(Counter<E>, Collection<E>, double) Counters
Sets each value of target to be target[k]+
value*(num-of-times-it-occurs-in-collection) if the key is present in the arg
collection.
addInPlace(TwoDimensionalCounter<T1, T2>, double) Counters
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
addInPlace(Counter<E>, Collection<E>) Counters
Sets each value of target to be target[k]+
num-of-times-it-occurs-in-collection if the key is present in the arg
collection.
addInPlace(Counter<E>, double) Counters
Increments all keys in a Counter by a specific value.
addIntervalRelationFlags(int, boolean) Interval
additionalSignature() AnnotatorFactory
addKBestParseTrees(CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKey(int) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
addKey(String) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
addKey(K) CollectionValuedMap
addKey(K1) TwoDimensionalCollectionValuedMap
yes, this is a weird method, but i need it.
addKeyBytes(ByteString) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
addLabel(L) Dataset
addLabel(LabelType) BasicDatum
Adds the given Label to the List of labels for this Datum if it is not
null.
addLabel(L) BasicDocument
Adds the given label to the List of labels for this Document if it is not null.
addLabelIndex(int) Dataset
addListener(FileTreeNode.FileTreeNodeListener) FileTreeNode
addListener(MatchesPanel.MatchesPanelListener) MatchesPanel
Become a listener to changes in the trees the matches panel is showing
addListener(ListSelectionListener) MatchesPanel
Become a listener to changes in which tree is selected
addListMember(Mention) Mention
addListMember(Mention) Mention
addListMembers(int) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
addMacro(String, String) TregexPatternCompiler
Define a macro for rewriting a pattern in any tregex expression compiled
by this compiler.
addMap(Map<String, Set<String>>) ChineseEnglishWordMap
Add all of the mappings from the specified map to the current map.
addMention(Mention) SpeakerInfo
addMention(Mention) SpeakerInfo
addMention(AceEntityMention) AceEntity
addMention(AceEventMention) AceEvent
addMention(AceRelationMention) AceRelation
addMention(CoreNLPProtos.CorefChain.CorefMention) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(CoreNLPProtos.CorefChain.CorefMention.Builder) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentions(CoreNLPProtos.NERMention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
addMentionsBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsForCoref(CoreNLPProtos.Mention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(CoreNLPProtos.Mention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMissingAnnotations(Properties) CorefProperties
addMissingFinalPunctuation TestOptions
If a token list does not have sentence final punctuation near the
end, then automatically add the default one.
addMod(String) SUTime.Temporal
addMod() TimeExpression
addModApprox(String, boolean) SUTime.Temporal
addMultInPlace(double[], double[], double) ArrayMath
Add c times the array b to array a.
addMultInto(double[], double[], double[], double) ArrayMath
addNamedEntityStrings(CoreMap, Set<String>, Set<IntPair>) CorefMentionFinder
addNode(CoreNLPProtos.DependencyGraph.Node) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(CoreNLPProtos.DependencyGraph.Node.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNonNested(T) IntervalTree
addNonOverlapping(T) IntervalTree
addNormalizedQuantitiesToEntities(List<E>) QuantifiableEntityNormalizer
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
addNormalizedQuantitiesToEntities(List<E>, boolean) QuantifiableEntityNormalizer
addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) QuantifiableEntityNormalizer
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
addObjectTokens(int) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 objectTokens = 7;
addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) GrammarCompactor
addOnePathToGraph(List, double, int, TransducerGraph) TransducerGraph
addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) GrammarCompactor
addOpenieTriple(CoreNLPProtos.OpenIETriple) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addOpenieTriple(int, CoreNLPProtos.OpenIETriple) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addOpenieTriple(CoreNLPProtos.OpenIETriple.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addOpenieTriple(int, CoreNLPProtos.OpenIETriple.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addOpenieTripleBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addOpenieTripleBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
addOriginalSpan(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addORRestriction(Class, String) Token
addParent(EventMention) EventMention
addPatterns(Map<String, Map<Integer, Set<E>>>) PatternsForEachToken
addPatterns(String, Map<Integer, Set<E>>) PatternsForEachToken
addPatterns(Map<String, Map<Integer, Set<E>>>) PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) PatternsForEachTokenInMemory
addPatterns(Map<String, Map<Integer, Set<E>>>) PatternsForEachTokenInMemory
addPatWithoutPOS SurfacePatternFactory
Add patterns without POS restriction as well: One of this and
usePOS4Pattern has to be true.
addPhrase(String) PhraseTable
addPhrase(String, String) PhraseTable
addPhrase(String, String, Object) PhraseTable
addPhrase(List<String>) PhraseTable
addPhrase(List<String>, String) PhraseTable
addPhrase(List<String>, String, Object) PhraseTable
addPhrases(Collection<String>) PhraseTable
addPhrases(Map<String, String>) PhraseTable
addPositionFeatures(List<String>, State) BasicFeatureFactory
addPositions(int, int, FeatureKey) TemplateHash
addPredicateNominatives(Mention) Mention
Find predicate nominatives
addPredicateNominatives(Mention) Mention
Find predicate nominatives
addPredicateNominatives(int) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
addPreprocessedTerms(String) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
addPreprocessedTermsBytes(ByteString) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
addPrev(int, History) TemplateHash
addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) CRFClassifier
Adds the List of Lists of CRFDatums to the data and labels arrays, treating
each datum as if it were its own document.
addQuote(CoreNLPProtos.Quote) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(CoreNLPProtos.Quote.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addRandomBinaryMatrix(String, String) DVModel
addRandomColors OutputHandler
addRandomUnaryMatrix(String) DVModel
addRelation(AceRelation) AceDocument
addRelation(CoreNLPProtos.Relation) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(CoreNLPProtos.Relation.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationMention(AceRelationMention) AceDocument
addRelationMention(AceRelationMention) AceEntityMention
addRelationMention(CoreMap, RelationMention) AnnotationUtils
addRelationMentions(CoreMap, Collection<RelationMention>) AnnotationUtils
addRelationTokens(int) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 relationTokens = 6;
addRelativePronoun(Mention) Mention
Find relative pronouns
addRelativePronoun(Mention) Mention
Find relative pronouns
addRelativePronouns(int) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
addRelnToNodeCoord(SemgrexPattern) CoordinationPattern
addRoot(Tree) TreeAnnotatorAndBinarizer
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(int) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
addRoot(IndexedWord) SemanticGraph
addRule(BinaryRule) BinaryGrammar
addRule(IntDependency, double) MLEDependencyGrammar
Add this dependency with the given count to the grammar.
addRule(UnaryRule) UnaryGrammar
addRules(SequenceMatchRules.ExtractRule<I, O>...) SequenceMatchRules.ListExtractRule
addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) SequenceMatchRules.ListExtractRule
addScaled(Weight, float) Weight
addSeedWords(String, Collection<CandidatePhrase>) ConstantsAndVariables
addSentence(List<String[]>) CoNLL2011DocumentReader.Document
addSentence(List<String[]>) CoNLLDocumentReader.CoNLLDocument
addSentence(CoreMap, CoreMap) AnnotationUtils
addSentence(CoreNLPProtos.Sentence) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(CoreNLPProtos.Sentence.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentencelessToken(CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addSentencelessToken(int, CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addSentencelessToken(CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addSentencelessToken(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addSentencelessTokenBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addSentencelessTokenBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
addSentences(CoreMap, List<CoreMap>) AnnotationUtils
addSentenceWords(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSeparatorFeature(List<String>, String, State.HeadPosition) BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, State.HeadPosition) BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, boolean) BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, boolean) BasicFeatureFactory
addSeparatorFeatures(List<String>, String, CoreLabel, String, CoreLabel, String, int) BasicFeatureFactory
addSeparatorFeatures(List<String>, CoreLabel, CoreLabel, State.HeadPosition, State.HeadPosition) BasicFeatureFactory
addSplit(FastExactAutomatonMinimizer.Split) FastExactAutomatonMinimizer
addSplits(FastExactAutomatonMinimizer.Block) FastExactAutomatonMinimizer
addSRLArcs SemanticGraph
addSubjectTokens(int) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 subjectTokens = 5;
addSupported(Period, int) SUTime.CompositePartialTime
addSupported(Period, int) SUTime.PartialTime
addTag(String, Value) Tags
addTag(String) MaxentTagger
Will return the index of a tag, adding it if it doesn't already exist
addTagging(boolean, IntTaggedWord, double) BaseLexicon
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) BaseUnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) UnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addTemporal(SUTime.Temporal) SUTime.TimeIndex
addTemporalExpr(TimeExpression) SUTime.TimeIndex
addTemporalFunc(SUTime.Temporal) SUTime.TimeIndex
addToIndex(E) ConcurrentHashIndex
addToIndex(E) DeltaIndex
addToIndex(E) HashIndex
addToIndex(E) Index
Takes an Object and returns the integer index of the Object.
addToIndexTemporal(SUTime.Temporal) SUTime.TimeIndex
addToIndexTemporalExpr(TimeExpression) SUTime.TimeIndex
addToIndexTemporalFunc(SUTime.Temporal) SUTime.TimeIndex
addToIndexUnsafe(E) HashIndex
Add the given item to the index, but without taking any locks.
addToken(AceToken) AceDocument
addToken(CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenIndex(int) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
addToKeySet(E) Distribution
Insures that object is in keyset (with possibly zero value)
addTP(int) PrecisionRecallStats
Adds the given number to the count of true positives.
addTransformer(TreeTransformer) CompositeTreeTransformer
addTransition(DFSATransition<T, S>) DFSAState
addTreeModelListener(TreeModelListener) FileTreeModel
addTreeNormalizer(TreeNormalizer) OrderedCombinationTreeNormalizer
Adds the given tree normalizer to this combination; the tree normalizers
are applied in the order they were added, with the first to be added being
the first to be applied.
addTrigramFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) BasicFeatureFactory
addUnaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent) BasicFeatureFactory
addUnaryQueueFeatures(List<String>, CoreLabel, String) BasicFeatureFactory
addUnaryStackFeatures(List<String>, CoreLabel, String, String, String, String, String) BasicFeatureFactory
addUnsupported(Period, int) SUTime.CompositePartialTime
addUnsupported(Period, int) SUTime.PartialTime
addValue(String) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
addValue(String) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
addValueBytes(ByteString) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
addValueBytes(ByteString) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
addVertex(V) DirectedMultiGraph
For adding a zero degree vertex
addVertex(V) Graph
For adding a zero degree vertex
addVertex(IndexedWord) SemanticGraph
addVThatTaking(String) Dictionary
addWordShapes(String, Set<CandidatePhrase>) ConstantsAndVariables
addXmlContext(String) CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
addXmlContextBytes(ByteString) CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
ADJECTIVAL_COMPLEMENT EnglishGrammaticalRelations
The "adjectival complement" grammatical relation.
ADJECTIVAL_MODIFIER EnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
ADJECTIVAL_MODIFIER ChineseGrammaticalRelations
The "adjective modifier" (amod) grammatical relation.
ADJECTIVAL_MODIFIER UniversalEnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
adjSuffix(String) FrenchUnknownWordSignatures
adjustBias(List<List<IN>>, Function<Double, Double>, double, double) CRFBiasedClassifier
Adjust the bias parameter to optimize some objective function.
adjustPhrasePositions(int, String) AceToken
Recomputes start/end phrase positions by removing SGML tag strings This is
required because ACE annotations skip over SGML tags when computing
positions in stream, hence annotations do not match with our preprocessing
positions, which count everything
ADMath edu.stanford.nlp.math
The class ADMath was created to extend the
current calculations of gradient to automatically include a calculation of the
hessian vector product with another vector v.
ADV_CLAUSE_MODIFIER EnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
ADV_CLAUSE_MODIFIER UniversalEnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
advanceLeft(boolean[]) OutsideRuleFilter
advanceRight(boolean[]) OutsideRuleFilter
ADVERBIAL_MODIFIER EnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER ChineseGrammaticalRelations
The "adverbial modifier" (advmod) grammatical relation.
ADVERBIAL_MODIFIER UniversalEnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
adverbSuffix(String) SpanishUnknownWordSignatures
advSuffix(String) FrenchUnknownWordSignatures
affDict edu.stanford.nlp.wordseg
affixation information
affDict(String) affDict
after(AceEntityMention) AceEntityMention
Verifies if this mention appears after the parameter in textual order
after() CoreLabel
Return the whitespace String after the word.
after() HasContext
Return the whitespace String after the word.
AFTER_FIELD_NUMBER CoreNLPProtos.Token
AfterAnnotation() CoreAnnotations.AfterAnnotation
AFTERNOON SUTime
agenda BiLexPCFGParser
AGENT EnglishGrammaticalRelations
The "agent" grammatical relation.
AGENT UniversalEnglishGrammaticalRelations
The "agent" grammatical relation.
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatCoreMapListAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatListAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatTextAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.MostFreqAggregator
AGGREGATE_FUNCTION ValueFunctions
aggregateToTokens Env
Whether we should merge and output CoreLabels or not
algorithms() Sentence
Return a class that can perform common algorithms on this sentence.
AliasMatch edu.stanford.nlp.dcoref.sievepasses
AliasMatch() AliasMatch
AliasMatch edu.stanford.nlp.hcoref.sieve
AliasMatch() AliasMatch
align(List<CoreMap>, List<CoreMap>) ResultsPrinter
If the same set of sentences is contained in two lists, order the lists so that their sentences are in the same order (and return true).
alignDDAlpha SeqClassifierFlags
alignLeft(JComponent) PreferencesPanel
Alignment edu.stanford.nlp.semgraph.semgrex
Represents an alignment between a text and a hypothesis as a map from
hypothesis words to text words, along with a real-valued score and
(optionally) a justification string.
Alignment(Map<IndexedWord, IndexedWord>, double, String) Alignment
alignmentDecodeThreshold SeqClassifierFlags
alignmentPruneThreshold SeqClassifierFlags
alignSentence(CoreMap) NumberSequenceClassifier
Copies one sentence replicating only information necessary for SUTime
allCandidatePhrases ScorePatterns
allEdgesInSet(Iterable<IndexedWord>, SemanticGraph) SemanticGraphUtils
Given a set of vertices from the same graph, returns the set of all edges between these
vertices.
allGoldMentions Document
allIndices AbstractStochasticCachingDiffFunction
allLabels(int, Index<String>) CRFClassifier
ALLOW_EMBEDDED_SAME QuoteAnnotator
ALLOW_REPARSING Constants
Whether or not the RuleBasedCorefMentionFinder can reparse a phrase to find its head
ALLOW_REPARSING_PROP Constants
ALLOW_REPARSING_PROP CorefProperties
allowedNERsforLabels ConstantsAndVariables
allowedTagsInitials ConstantsAndVariables
allowReparsing(Properties) CorefProperties
allowReparsing CorefMentionFinder
allPatternsDir ConstantsAndVariables
Cached file of all patterns for all tokens
allPositions Document
allPositions Document
allPredictedMentions Document
All mentions in a document mentionID -> mention
allPronouns Dictionaries
allPronouns Dictionaries
AllRelationMentionsAnnotation() MachineReadingAnnotations.AllRelationMentionsAnnotation
allSpans(Function<Sentence, List<E>>, int) SentenceAlgorithms
Return all the spans of a sentence.
allSpans(Function<Sentence, List<E>>) SentenceAlgorithms
allSpans() SentenceAlgorithms
allTokens() RelationTriple
Returns all the tokens in the extraction, in the order subject then relation then object.
allTypedDependencies(Tree, boolean) SemanticGraphFactory
Returns a new SemanticGraph constructed from the given tree.
allTypedDependencies GrammaticalStructure
allTypedDependencies() GrammaticalStructure
Returns all the typed dependencies of this grammatical structure.
allValues() CollectionValuedMap
alpha SGDWithAdaGradAndFOBOS
alphaFile SVMLightClassifierFactory
alsoHide(Object) VisibilityHandler
Show all the channels currently being printed, with the exception
of this new one
alsoShow(Object) VisibilityHandler
Show all the channels currently being printed, in addition
to a new one
altAnswerFile SeqClassifierFlags
alternateTraining SeqClassifierFlags
ALTERNATION_VALUE CoreNLPProtos.NaturalLogicRelation
ALTERNATION = 4;
ALTERNATIVEDEPENDENCIES_FIELD_NUMBER CoreNLPProtos.Sentence
AlternativeDependenciesAnnotation() SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
altTag MorphoFeatures
altVal() Timex
ALTVALUE_FIELD_NUMBER CoreNLPProtos.Timex
am HTKLatticeReader.LatticeWord
AmbiguityClass edu.stanford.nlp.tagger.maxent
An ambiguity class for a word is the word by itself or its set of observed tags.
AmbiguityClass(String, boolean, Dictionary, TTags) AmbiguityClass
AmbiguityClasses edu.stanford.nlp.tagger.maxent
A collection of Ambiguity Class.
AmbiguityClasses(TTags) AmbiguityClasses
Americanize edu.stanford.nlp.process
Takes a HasWord or String and returns an Americanized version of it.
Americanize() Americanize
Americanize(int) Americanize
Make an object for Americanizing spelling.
americanize(String) Americanize
Convert the spelling of a word from British to American English.
americanize(String, boolean) Americanize
Convert the spelling of a word from British to American English.
AmericanizeFunction edu.stanford.nlp.process
AmericanizeFunction() AmericanizeFunction
AMPERSAND RobustTokenizer
ANALYSIS_SKIP_ATYPE_PROP CorefProperties
ANALYSIS_SKIP_MTYPE_PROP CorefProperties
ANAPHORICITY_MODEL StatisticalCorefTrainer
anaphoricityClassifier(boolean) MetaFeatureExtractor.Builder
anaphoricityMFE() MetaFeatureExtractor
anaphoricityModelPath(Properties) StatisticalCorefProperties
anaphoricityScores ClustererDataLoader.ClustererDoc
ancestor(int, Tree) Tree
Return the ancestor tree node height nodes up from the current node.
ANCORA_OPTIONS SpanishTokenizer
ancoraFactory() SpanishTokenizer
Returns a tokenizer with Ancora tokenization.
AnCoraPronounDisambiguator edu.stanford.nlp.international.spanish.process
A utility for preprocessing the AnCora Spanish corpus.
AnCoraPronounDisambiguator() AnCoraPronounDisambiguator
AnCoraPronounDisambiguator.PersonalPronounType edu.stanford.nlp.international.spanish.process
and(Trilean) Trilean
Returns the logical and of this and the other value.
AND_FUNCTION ValueFunctions
AndExpression(List<Expression>) Expressions.AndExpression
andFilter(Predicate<E>, Predicate<E>) Filters
Filter that accepts only when both filters accept (AND).
AndPatternExpr(List<SequencePattern.PatternExpr>) SequencePattern.AndPatternExpr
AndPatternExpr(SequencePattern.PatternExpr...) SequencePattern.AndPatternExpr
animacies CorefCluster
animacies CorefCluster
animaciesAgree(Mention) Mention
animaciesAgree(Mention, boolean) Mention
animaciesAgree(Mention) Mention
animaciesAgree(Mention, boolean) Mention
animacy CorefChain.CorefMention
animacy Mention
animacy CorefChain.CorefMention
animacy Mention
ANIMACY_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
ANIMACY_FIELD_NUMBER CoreNLPProtos.Mention
ANIMATE_PROP Constants
ANIMATE_PROP CorefProperties
animatePronouns Dictionaries
animatePronouns Dictionaries
animatePronounsEn WordLists
animatePronounsZh WordLists
animateWords Dictionaries
animateWords Dictionaries
annealingRate SeqClassifierFlags
annealingType SeqClassifierFlags
annotate(Annotation) BasicEntityExtractor
Annotate an ExtractionDataSet with entities.
annotate(Annotation) BasicRelationExtractor
annotate(Annotation) Extractor
Annotates the given dataset with the current model This works in place,
i.e., it adds ExtractionObject objects to the sentences in the dataset To
make sure you are not messing with gold annotation create a copy of the
ExtractionDataSet first!
annotate(Annotation) ExtractorMerger
annotate(Annotation) MachineReading
annotate(Annotation, int) MachineReading
annotate(MatchedExpression, List<? extends CoreMap>) MatchedExpression.SingleAnnotationExtractor
annotate(MatchedExpression) MatchedExpression.SingleAnnotationExtractor
annotate(Annotation) OpenIE
Given an Annotation, perform a task on this Annotation.
annotate(CoreMap, AnnotationPipeline) Util
TODO(gabor) JavaDoc
annotate(Annotation) AnnotationPipeline
Run the pipeline on an input annotation.
annotate(Iterable<Annotation>) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
annotate(Iterable<Annotation>, Consumer<Annotation>) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
annotate(Iterable<Annotation>, int) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads
annotate(Annotation) Annotator
Given an Annotation, perform a task on this Annotation.
annotate(Annotation) BinarizerAnnotator
annotate(Annotation) CharniakParserAnnotator
annotate(Annotation) ChineseSegmenterAnnotator
annotate(Annotation) CleanXmlAnnotator
annotate(Annotation) ColumnDataClassifierAnnotator
annotate(Annotation) CorefAnnotator
annotate(Annotation) DeterministicCorefAnnotator
annotate(Annotation) EntityMentionsAnnotator
annotate(Annotation) GenderAnnotator
annotate(Annotation) MentionAnnotator
annotate(Annotation) MorphaAnnotator
annotate(Annotation) NERCombinerAnnotator
annotate(Annotation) POSTaggerAnnotator
annotate(Annotation) QuoteAnnotator
annotate(Annotation) RegexNERAnnotator
annotate(Annotation) RelationExtractorAnnotator
annotate(Annotation) SentenceAnnotator
annotate(Annotation) SentimentAnnotator
annotate(Annotation) StanfordCoreNLP
annotate(Annotation, Consumer<Annotation>) StanfordCoreNLP
annotate(Annotation) StanfordCoreNLPClient
Run the pipeline on an input annotation.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) StanfordCoreNLPClient
This method fires off a request to the server.
annotate(Annotation, Consumer<Annotation>) StanfordCoreNLPClient
The canonical entry point of the client annotator.
annotate(Annotation) TokenizerAnnotator
Does the actual work of splitting TextAnnotation into CoreLabels,
which are then attached to the TokensAnnotation.
annotate(Annotation) TokensRegexAnnotator
annotate(Annotation) TokensRegexNERAnnotator
annotate(Annotation) TrueCaseAnnotator
annotate(Annotation) WordsToSentencesAnnotator
If setCountLineNumbers is set to true, we count line numbers by
telling the underlying splitter to return empty lists of tokens
and then treating those empty lists as empty lines.
annotate(Annotation) StatisticalCorefSystem
annotate(Annotation, boolean) StatisticalCorefSystem
annotate(Annotation) GUTimeAnnotator
annotate(CoreMap) GUTimeAnnotator
annotate(Annotation) HeidelTimeAnnotator
annotate(CoreMap) HeidelTimeAnnotator
annotate(Annotation) TimeAnnotator
AnnotateAction(Map<String, String>) CoreMapSequenceMatchAction.AnnotateAction
AnnotateAction(Env) TokenSequenceParser
annotateChunk(CoreMap, List<CoreLabel>, int, int, int) ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + totalTokenOffset
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + totalTokenOffset
annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) ChunkAnnotationUtils
annotateChunk(CoreMap, Map<String, String>) ChunkAnnotationUtils
annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) ChunkAnnotationUtils
annotateChunks(List<? extends CoreMap>, Map<String, String>) ChunkAnnotationUtils
annotateChunkText(CoreMap, Class) ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String representing tokens in this chunks (token text separated by space)
annotateChunkText(CoreMap, CoreMap) ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
annotateChunkTokens(CoreMap, Class, Class) ChunkAnnotationUtils
Annotates tokens in chunk
ANNOTATEDPARSETREE_FIELD_NUMBER CoreNLPProtos.Sentence
AnnotatedTextReader edu.stanford.nlp.patterns.surface
CanNOT handle overlapping labeled text (that is one token cannot belong to
multiple labels)! Note that there has to be spaces around the tags
and for the reader to work correctly!
AnnotatedTextReader() AnnotatedTextReader
annotateGroup(Map<String, String>) CoreMapSequenceMatcher
annotateGroup(int, Map<String, String>) CoreMapSequenceMatcher
AnnotateHeadFunction(HeadFinder) TregexPoweredTreebankParserParams.AnnotateHeadFunction
AnnotateHeadFunction(HeadFinder, boolean) TregexPoweredTreebankParserParams.AnnotateHeadFunction
annotateMulticlass(List<Datum<String, String>>) BasicRelationExtractor
AnnotatePunctuationFunction(String, String) AbstractTreebankParserParams.AnnotatePunctuationFunction
annotateSentence(CoreMap) BasicRelationExtractor
annotateSentence(CoreMap, Map<CoreLabel, List<CoreLabel>>) OpenIE
Annotate a single sentence.
annotateSingleSentence(CoreMap, String, SUTime.TimeIndex) TimeAnnotator
Helper method for people not working from a complete Annotation.
annotateTokenCoref CoNLL2011DocumentReader.Options
annotateTokenCoref CoNLLDocumentReader.Options
annotateTokenNer CoNLL2011DocumentReader.Options
annotateTokenNer CoNLLDocumentReader.Options
annotateTokenPos CoNLL2011DocumentReader.Options
annotateTokenPos CoNLLDocumentReader.Options
annotateTokenSpeaker CoNLL2011DocumentReader.Options
annotateTokenSpeaker CoNLLDocumentReader.Options
annotateTreeCoref CoNLL2011DocumentReader.Options
annotateTreeCoref CoNLLDocumentReader.Options
annotateTreeNer CoNLL2011DocumentReader.Options
annotateTreeNer CoNLLDocumentReader.Options
annotateTrees(List<Tree>) TreebankAnnotator
annotation Document
Document annotation
annotation Document
Document annotation
annotation InputDoc
annotation MatchedExpression
Annotation edu.stanford.nlp.pipeline
An annotation representing a span of text in a document.
Annotation(Annotation) Annotation
Copy constructor.
Annotation(String) Annotation
The text becomes the CoreAnnotations.TextAnnotation of the newly
created Annotation.
Annotation(List<CoreMap>) Annotation
Make a new Annotation from a List of tokenized sentences.
Annotation() Annotation
Deprecated.
Annotation() TimeExpression.Annotation
ANNOTATION_FUNCTION ValueFunctions
AnnotationCreator edu.stanford.nlp.pipeline
Creates a annotation from an input source
AnnotationExtractRule() SequenceMatchRules.AnnotationExtractRule
AnnotationExtractRuleCreator() SequenceMatchRules.AnnotationExtractRuleCreator
annotationField SequenceMatchRules.AnnotationExtractRule
Annotation field to apply rule over: text or tokens or numerizedtokens
AnnotationLookup edu.stanford.nlp.ling
AnnotationLookup.KeyLookup edu.stanford.nlp.ling
AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) SequenceMatchRules.AnnotationMatchedFilter
AnnotationOutputter edu.stanford.nlp.pipeline
An interface for outputting CoreNLP Annotations to different output
formats.
AnnotationOutputter() AnnotationOutputter
AnnotationOutputter.Options edu.stanford.nlp.pipeline
AnnotationPipeline edu.stanford.nlp.pipeline
This class is designed to apply multiple Annotators
to an Annotation.
AnnotationPipeline(List<Annotator>) AnnotationPipeline
AnnotationPipeline() AnnotationPipeline
annotations TregexPoweredTreebankParserParams
This data structure dictates how an arbitrary tree should be
annotated.
AnnotationSerializer edu.stanford.nlp.pipeline
AnnotationSerializer() AnnotationSerializer
AnnotationSerializer.IntermediateEdge edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateNode edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateSemanticGraph edu.stanford.nlp.pipeline
annotationsToSkip BasicEntityExtractor
annotationToDoc(Annotation, StanfordCoreNLP) XMLOutputter
Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
annotationToDoc(Annotation, AnnotationOutputter.Options) XMLOutputter
Converts the given annotation to an XML document using the specified options
annotationToTmlTextElement(Annotation) SUTimeMain
annotationToXmlDocument(Annotation) SUTimeMain
AnnotationUtils edu.stanford.nlp.ie.machinereading.structure
Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
Annotator edu.stanford.nlp.pipeline
This is an interface for adding annotations to a partially annotated
Annotation.
Annotator.Requirement edu.stanford.nlp.pipeline
The Requirement is a general way of describing the pre and post
conditions of an Annotator running.
AnnotatorFactories edu.stanford.nlp.pipeline
AnnotatorFactory edu.stanford.nlp.pipeline
A Factory for creating a certain type of Annotator.
AnnotatorFactory(Properties, AnnotatorImplementations) AnnotatorFactory
AnnotatorImplementations edu.stanford.nlp.pipeline
A class abstracting the implementation of various annotators.
AnnotatorImplementations() AnnotatorImplementations
AnnotatorPool edu.stanford.nlp.pipeline
An object for keeping track of Annotators.
AnnotatorPool() AnnotatorPool
Create an empty AnnotatorPool.
announceObjectBankEntries SeqClassifierFlags
anonymyizeNodes(Iterable<IndexedWord>, String) SemanticGraphUtils
GIven an iterable set of distinct vertices, creates a new mapping that maps the
original vertices to a set of "generic" versions.
ansiCode Color
ansiCode Style
ANSWER_FIELD_NUMBER CoreNLPProtos.Token
AnswerAnnotation() CoreAnnotations.AnswerAnnotation
answerClass LearnImportantFeatures
answerFile SeqClassifierFlags
answerLabel LearnImportantFeatures
AnswerObjectAnnotation() CoreAnnotations.AnswerObjectAnnotation
AntecedentAnnotation() CoreAnnotations.AntecedentAnnotation
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) Rules
Is the speaker for mention the same entity as the ant entity?
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) Rules
Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention) Rules
Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) Rules
The antecedent matches the speaker annotation found in the mention
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) Rules
The antecedent matches the speaker annotation found in the mention
antecedentOrdering Mention
ANY RobustTokenizer
ANY IntTaggedWord
ANY_DISTANCE_INT IntDependency
ANY_NODE NodePattern
ANY_NODE_PATTERN TokenSequencePattern
ANY_NODE_PATTERN_EXPR SequencePattern
ANY_TAG_INT IntTaggedWord
Any_VALUE CoreNLPProtos.Language
Any = 1;
ANY_WORD_INT IntTaggedWord
AnyNodePattern() NodePattern.AnyNodePattern
aOverAFilter BobChrisTreeNormalizer
AOverAFilter() BobChrisTreeNormalizer.AOverAFilter
APOSTROPHE RobustTokenizer
appearEarlierThan(Mention) Mention
Find which mention appears first in a document
appearEarlierThan(Mention) Mention
Find which mention appears first in a document
append(SequenceMatchResult<T>, List) SequenceMatcher.BasicMatchReplacement
Append to replacement list our list of replacement items
append(SequenceMatchResult<T>, List) SequenceMatcher.GroupMatchReplacement
Append to replacement list the matched group with the specified group id
append(SequenceMatchResult<T>, List) SequenceMatcher.MatchReplacement
Append to replacement list
append(SequenceMatchResult<T>, List) SequenceMatcher.NamedGroupMatchReplacement
Append to replacement list the matched group with the specified group name
append(CharSequence) RedwoodPrintStream
append(CharSequence, int, int) RedwoodPrintStream
append(char) RedwoodPrintStream
appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) ChunkAnnotationUtils
appendDateFormats(DateTimeFormatterBuilder, int) SUTime.PartialTime
AppendingObjectOutputStream(OutputStream) GenericAnnotationSerializer.AppendingObjectOutputStream
appendLC SeqClassifierFlags
appendOffset(StringBuffer, int) AceElement
appendRules(List<SequenceMatchRules.Rule>) CoreMapExpressionExtractor
Add specified rules to this extractor
appendTimeFormats(DateTimeFormatterBuilder, int) SUTime.PartialTime
appliesNumericClassifiers() NERClassifierCombiner
apply(String) AbstractSequenceClassifier
Maps a String input to an XML-formatted rendition of applying NER to the
String.
apply(String) Buckwalter
apply(CoreMap) CoreMapNodePatternTrigger
apply(SequenceMatchResult<T>, int...) CoreMapSequenceMatchAction.AnnotateAction
apply(SequenceMatchResult<CoreMap>, int...) CoreMapSequenceMatchAction.MergeAction
apply(CoreMap) MatchedExpression.SingleAnnotationExtractor
apply(List<? extends T>) MultiPatternMatcher.BasicSequencePatternTrigger
apply(SequenceMatchResult<T>, int...) SequenceMatchAction
apply(SequenceMatchResult<T>) SequenceMatchAction.BoundAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.BranchAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.NextMatchAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.SeriesAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.StartMatchAction
apply(MR) SequenceMatchResult.GroupToIntervalFunc
apply(CoreMap) SequenceMatchRules.CoreMapFunctionApplier
apply(CoreMap) SequenceMatchRules.CoreMapToListFunctionApplier
apply(List<? extends T>) SequenceMatchRules.MultiSequencePatternExtractRule
apply(SequenceMatchResult<CoreMap>) SequenceMatchRules.SequenceMatchedExpressionExtractor
apply(SequenceMatchResult<T>) SequenceMatchRules.SequenceMatchResultExtractor
apply(List<? extends T>) SequenceMatchRules.SequencePatternExtractRule
apply(MatchResult) SequenceMatchRules.StringMatchedExpressionExtractor
apply(MatchResult) SequenceMatchRules.StringMatchResultExtractor
apply(String) SequenceMatchRules.StringPatternExtractRule
apply(Env, List<Value>) ValueFunction
Applies the function to the list values using the environment as context
and returns the evaluated value.
apply(Env, List<Value>) ValueFunctions.BooleanFunction
apply(Env, List<Value>) ValueFunctions.CompareFunction
apply(Env, List<Value>) ValueFunctions.NumericFunction
apply(Env, List<Value>) ValueFunctions.StringFunction
apply(SemanticGraph, Boolean) ForwardEntailer
Create a new search problem instance, given a sentence (possibly fragment), and the corresponding
parse tree.
apply(X) IdentityFunction
apply(String) ObjectBank.PathToFileFunction
apply(List<? extends HasWord>) ParserGrammar
Parses the list of HasWord.
apply(TregexMatcher) AbstractTreebankParserParams.AnnotatePunctuationFunction
apply(Pair<UnaryGrammar, BinaryGrammar>) LinearGrammarSmoother
Destructively modifies the input and returns it as a convenience.
apply(TregexMatcher) TregexPoweredTreebankParserParams.AnnotateHeadFunction
apply(TregexMatcher) TregexPoweredTreebankParserParams.SimpleStringFunction
apply(Configuration, String) ArcStandard
apply(Configuration, String) ParsingSystem
Apply the given transition to the given configuration, modifying
the configuration's state in place.
apply(State) BinaryTransition
Add a binary node to the existing node on top of the stack
apply(State, double) BinaryTransition
Add a binary node to the existing node on top of the stack
apply(State) CompoundUnaryTransition
Add a unary node to the existing node on top of the stack
apply(State, double) CompoundUnaryTransition
Add a unary node to the existing node on top of the stack
apply(State) FinalizeTransition
apply(State, double) FinalizeTransition
apply(State) IdleTransition
Do nothing
apply(State, double) IdleTransition
Do nothing
apply(State) ShiftTransition
Add the new preterminal to the stack, increment the queue position.
apply(State, double) ShiftTransition
Add the new preterminal to the stack, increment the queue position.
apply(State) Transition
Applies this transition to get a new state.
apply(State, double) Transition
Applies this transition to get a new state.
apply(State) UnaryTransition
Add a unary node to the existing node on top of the stack
apply(State, double) UnaryTransition
Add a unary node to the existing node on top of the stack
apply(List<? extends CoreMap>) CoreMapAggregator
apply(HasWord) Americanize
Americanize the HasWord or String coming in.
apply(String) AmericanizeFunction
apply(String) LowercaseAndAmericanizeFunction
apply(String) LowercaseFunction
apply(Object) Morphology
apply(List<IN>) PTBEscapingProcessor
Escape a List of HasWords.
apply(String) TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
apply(String) MultiClassPrecisionRecallExtendedStats.StringStringConverter
apply(List<? extends HasWord>) Tagger
apply(List<? extends HasWord>) MaxentTagger
Expects a sentence and returns a tagged sentence.
apply(SUTime.Temporal, SUTime.Temporal, int) SUTime.TemporalOp
apply(SUTime.Temporal, SUTime.Temporal) SUTime.TemporalOp
apply(SUTime.Temporal...) SUTime.TemporalOp
apply(Object...) SUTime.TemporalOp
apply(String) TimeFormatter.CustomDateFormatExtractor
apply(MatchResult) TimeFormatter.CustomDateFormatExtractor
apply(CoreMap) TimeFormatter.JavaDateFormatExtractor
apply(CoreMap) TimeFormatter.JodaDateTimeFormatExtractor
apply(Tree) BasicCategoryTreeTransformer
apply(TreeVisitor) CompositeTreebank
apply(TreeVisitor) DiskTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) FilteringTreebank
Applies the TreeVisitor, but only to the trees that pass the
filter.
apply(List<HasWord>) ChineseEscaper
Note: At present this clobbers the input list items.
apply(TreeVisitor) MemoryTreebank
Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) TransformingTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) Treebank
Apply a TreeVisitor to each tree in the Treebank.
apply(String) Color
apply() RedwoodConfiguration
Apply this configuration to Redwood
apply(Properties) RedwoodConfiguration
Parses a properties file and applies it immediately to Redwood
apply(RedwoodConfiguration, Redwood.RecordHandlerTree) RedwoodConfiguration.Thunk
apply(Properties) StanfordRedwoodConfiguration
Configures the Redwood logger using a reasonable set of defaults,
which can be overruled by the supplied Properties file
apply(String) UTF8EquivalenceFunction
APPLY_NUMERIC_CLASSIFIERS_DEFAULT NERClassifierCombiner
APPLY_NUMERIC_CLASSIFIERS_PROPERTY NERClassifierCombiner
APPLY_NUMERIC_CLASSIFIERS_PROPERTY_BASE NERClassifierCombiner
applyCompositeRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, T>, List<? extends CoreMap>, List<T>, int) CoreMapExpressionExtractor
ApplyDepPatterns E extends Pattern > - Class in edu.stanford.nlp.patterns.dep
Applying Dependency patterns to sentences.
ApplyDepPatterns(Map<String, DataInstance>, List<String>, Map<SemgrexPattern, E>, String, boolean, boolean, ConstantsAndVariables) ApplyDepPatterns
applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) Dataset
Applies feature count thresholds to the Dataset.
applyFeatureCountThreshold(int) GeneralDataset
Applies a feature count threshold to the Dataset.
applyFeatureCountThreshold(int) RVFDataset
Applies a feature count threshold to the RVFDataset.
applyFeatureMaxCountThreshold(int) GeneralDataset
Applies a max feature count threshold to the Dataset.
applyFeatureMaxCountThreshold(int) RVFDataset
Applies a feature max count threshold to the RVFDataset.
applyInitialHessian(double[]) QNMinimizer.QNInfo
applyNERPenalty SeqClassifierFlags
applyNumericClassifiers SeqClassifierFlags
applyPats(Counter<E>, String, TwoDimensionalCounter<CandidatePhrase, E>, CollectionValuedMap<E, Triple<String, Integer, Integer>>, Set<CandidatePhrase>) ScorePhrases
ApplyPatterns E extends Pattern > - Class in edu.stanford.nlp.patterns.surface
Applying SurfacePattern to sentences.
ApplyPatterns(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) ApplyPatterns
applyPrior(double[], double) CRFLogConditionalObjectiveFunction
applySpecializedNER(List<E>) QuantifiableEntityNormalizer
Runs a deterministic named entity classifier which is good at recognizing
numbers and money and date expressions not recognized by our statistical
NER.
applyTo(SemanticGraph, ClauseSplitterSearchProblem.State, SemanticGraphEdge, SemanticGraphEdge, SemanticGraphEdge) ClauseSplitterSearchProblem.Action
Apply this action to the given state.
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) Trees
applyToTruthValue(boolean) NaturalLogicRelation
Implements the finite state automata of composing the truth value of a sentence with a natural logic relation being
applied.
APPOSITIONAL_MODIFIER EnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
APPOSITIONAL_MODIFIER ChineseGrammaticalRelations
The "appositional modifier" (appos) grammatical relation (abstract).
APPOSITIONAL_MODIFIER UniversalEnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
appositions Mention
Set of other mentions in the same sentence that are syntactic appositions to this
appositions Mention
Set of other mentions in the same sentence that are syntactic appositions to this
APPOSITIONS_FIELD_NUMBER CoreNLPProtos.Mention
approx SUTime.Temporal
approxAccuracy(int[][], int[][]) AbstractEvaluate
approxCombinedAccuracy(int[][], int[][]) AbstractEvaluate
APPROXIMATE TaggerConfig
approximate JodaTimeUtils.ConversionOptions
Treat durations as approximate
APPROXIMATE RepeatedRecordHandler
APPROXIMATE_EQUIVALENCE_CLASSES RNNOptions
ApproximateRepeatSemantics() RepeatedRecordHandler.ApproximateRepeatSemantics
ApproxMatch K ,V > - Class in edu.stanford.nlp.ling.tokensregex.matcher
Represents an approximate match with a cost
ApproxMatch() ApproxMatch
ApproxMatch(List<K>, V, int, int, double) ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) ApproxMatch
APRIL SUTime
ARABIC FontDetector
Arabic_VALUE CoreNLPProtos.Language
Arabic = 2;
arabicDigit DefaultLexicalMapper
ArabicDocumentReaderAndWriter edu.stanford.nlp.international.arabic.process
Reads newline delimited UTF-8 Arabic sentences with or without
gold segmentation markers.
ArabicDocumentReaderAndWriter(boolean) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation edu.stanford.nlp.international.arabic.process
ArabicEmptyFilter() ArabicTreeNormalizer.ArabicEmptyFilter
ArabicHeadFinder edu.stanford.nlp.trees.international.arabic
Find the head of an Arabic tree, using the usual kind of heuristic
head finding rules.
ArabicHeadFinder() ArabicHeadFinder
ArabicHeadFinder(String) ArabicHeadFinder
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack) ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) ArabicHeadFinder
ArabicHeadFinder.TagSet edu.stanford.nlp.trees.international.arabic
ArabicMorphoFeatures() ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
ArabicMorphoFeatureSpecification edu.stanford.nlp.international.arabic
Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() ArabicMorphoFeatureSpecification
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures edu.stanford.nlp.international.arabic
Converts features specifications to labels for tagging
arabicPunc DefaultLexicalMapper
ArabicRawTreeReaderFactory() ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicRawTreeReaderFactory(boolean) ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicSegmenter edu.stanford.nlp.international.arabic.process
Arabic word segmentation model based on conditional random fields (CRF).
ArabicSegmenter(Properties) ArabicSegmenter
Make an Arabic Segmenter.
ArabicSegmenter(ArabicSegmenter) ArabicSegmenter
Copy constructor.
ArabicSegmenterFeatureFactory IN extends CoreLabel > - Class in edu.stanford.nlp.international.arabic.process
Feature factory for the IOB clitic segmentation model described by
Green and DeNero (2012).
ArabicSegmenterFeatureFactory() ArabicSegmenterFeatureFactory
ArabicSubcategoryStripper() ArabicTreebankParserParams.ArabicSubcategoryStripper
ArabicTokenizer T extends HasWord > - Class in edu.stanford.nlp.international.arabic.process
Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) ArabicTokenizer
ArabicTokenizer.ArabicTokenizerFactory T extends HasWord > - Class in edu.stanford.nlp.international.arabic.process
ArabicTreebankLanguagePack edu.stanford.nlp.trees.international.arabic
Specifies the treebank/language specific components needed for
parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() ArabicTreebankLanguagePack
ArabicTreebankParserParams edu.stanford.nlp.parser.lexparser
ArabicTreebankParserParams() ArabicTreebankParserParams
ArabicTreebankParserParams.ArabicSubcategoryStripper edu.stanford.nlp.parser.lexparser
ArabicTreebankTokenizer edu.stanford.nlp.trees.international.arabic
Builds a tokenizer for the Penn Arabic Treebank (ATB) using a
StreamTokenizer.
ArabicTreebankTokenizer(Reader) ArabicTreebankTokenizer
ArabicTreeNormalizer edu.stanford.nlp.trees.international.arabic
Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB)
trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean, boolean) ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean) ArabicTreeNormalizer
ArabicTreeNormalizer(boolean) ArabicTreeNormalizer
ArabicTreeNormalizer() ArabicTreeNormalizer
ArabicTreeNormalizer.ArabicEmptyFilter edu.stanford.nlp.trees.international.arabic
Remove traces and pronoun deletion markers.
ArabicTreeReaderFactory edu.stanford.nlp.trees.international.arabic
Reads ArabicTreebank trees.
ArabicTreeReaderFactory() ArabicTreeReaderFactory
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) ArabicTreeReaderFactory
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory edu.stanford.nlp.trees.international.arabic
ArabicUnknownWordModel edu.stanford.nlp.parser.lexparser
This is a basic unknown word model for Arabic.
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) ArabicUnknownWordModel
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) ArabicUnknownWordModel
This constructor creates an UWM with empty data structures.
ArabicUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
ArabicUnknownWordModelTrainer() ArabicUnknownWordModelTrainer
arbitraryInputLayerSize SeqClassifierFlags
Arc(TransducerGraph.Arc<NODE, IN, OUT>) TransducerGraph.Arc
Arc(NODE, NODE) TransducerGraph.Arc
Arc(NODE, NODE, IN) TransducerGraph.Arc
Arc(NODE, NODE, IN, OUT) TransducerGraph.Arc
ARCH TaggerConfig
ArcStandard edu.stanford.nlp.parser.nndep
Defines an arc-standard transition-based dependency parsing system
(Nivre, 2004).
ArcStandard(TreebankLanguagePack, List<String>, boolean) ArcStandard
areTransitionsEqual(State) State
Whether or not the transitions that built the two states are
equal.
arg IntDependency
ARG_FIELD_NUMBER CoreNLPProtos.Relation
argCounter MLEDependencyGrammar
Stores all the counts for dependencies (with and without the word
being a wildcard) in the reduced tag space.
ArgDescendentAnnotation() CoreAnnotations.ArgDescendentAnnotation
argmax(double[]) ArrayMath
argmax(float[]) ArrayMath
argmax(int[]) ArrayMath
argmax(Counter<E>) Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>, E) Counters
Finds and returns the key in the Counter with the largest count.
argmax() Distribution
argmax(Comparator<E>) IntCounter
Finds and returns the key in this Counter with the largest count.
argmax() IntCounter
Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) ArrayMath
argmin(double[]) ArrayMath
argmin(float[]) ArrayMath
argmin(int[]) ArrayMath
argmin(Counter<E>) Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) IntCounter
Finds and returns the key in this Counter with the smallest count.
argmin() IntCounter
Finds and returns the key in this Counter with the smallest count.
ARGNAME_FIELD_NUMBER CoreNLPProtos.Relation
argNames RelationMention
List of argument names in this relation
args RelationMention
List of arguments in this relation
If unnamed, arguments MUST be stored in semantic order, e.g., ARG0 must be a person in a employed-by relation
argsMatch(RelationMention) RelationMention
argsMatch(ExtractionObject...) RelationMention
argsMatch(List<ExtractionObject>) RelationMention
Verifies if the two sets of arguments match
argsToMap(String[]) StringUtils
Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) StringUtils
Parses command line arguments into a Map.
argsToProperties(String...) StringUtils
In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) StringUtils
argsToPropertiesWithResolve(String[]) StringUtils
convert args to properties with variable names resolved.
ARGUMENT EnglishGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT ChineseGrammaticalRelations
The "argument" (arg) grammatical relation (abstract).
ARGUMENT UniversalEnglishGrammaticalRelations
The "argument" grammatical relation.
ArgumentAnnotation() CoreAnnotations.ArgumentAnnotation
ArgUtils edu.stanford.nlp.parser.common
Utility methods or common blocks of code for dealing with parser
arguments, such as extracting Treebank information
ARMY_TIME_MORNING NumberSequenceClassifier
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>) MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, List<List<Mention>>, boolean) MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, boolean) MentionExtractor
Post-processes the extracted mentions.
ARRAY_LIST_FACTORY CollectionFactory
ArrayCoreMap edu.stanford.nlp.util
Base implementation of
CoreMap backed by two Java arrays.
ArrayCoreMap() ArrayCoreMap
Default constructor - initializes with default initial annotation
capacity of 4.
ArrayCoreMap(int) ArrayCoreMap
Initializes this ArrayCoreMap, pre-allocating arrays to hold
up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) ArrayCoreMap
Copy constructor.
ArrayCoreMap(CoreMap) ArrayCoreMap
Copy constructor.
ArrayHeap E > - Class in edu.stanford.nlp.util
Implements a heap as an ArrayList.
ArrayHeap(Comparator<? super E>) ArrayHeap
Create an ArrayHeap.
ArrayHeap(Comparator<? super E>, int) ArrayHeap
arrayListFactory() CollectionFactory
Return a factory for making ArrayList Collections.
arrayListFactory(int) CollectionFactory
ArrayListFactory() CollectionFactory.ArrayListFactory
ArrayMap K ,V > - Class in edu.stanford.nlp.util
Map backed by an Array.
ArrayMap() ArrayMap
ArrayMap(int) ArrayMap
ArrayMap(Map<? extends K, ? extends V>) ArrayMap
ArrayMap(K[], V[]) ArrayMap
arrayMapFactory() MapFactory
Return a MapFactory that returns an ArrayMap.
ArrayMath edu.stanford.nlp.math
Class ArrayMath
ArrayMath.InvalidElementException edu.stanford.nlp.math
ArraySet E > - Class in edu.stanford.nlp.util
An array-backed set.
ArraySet() ArraySet
Constructs an ArraySet.
ArraySet(int) ArraySet
Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) ArraySet
Constructs an ArraySet with the specified elements.
arraySize ExhaustivePCFGParser
ArrayStringFilter edu.stanford.nlp.util
Filters Strings based on whether they exactly match any string in
the array it is initially constructed with.
ArrayStringFilter(ArrayStringFilter.Mode, String...) ArrayStringFilter
ArrayStringFilter.Mode edu.stanford.nlp.util
arrayToFile(double[], String) StochasticDiffFunctionTester
ArrayUtils edu.stanford.nlp.util
Static utility methods for operating on arrays.
asAnnotation() Document
Return this Document as an Annotation object.
asArray(Counter<E>, Index<E>) Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>, Index<E>, int) Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>) Counters
Convert a counter to an array, the order of the array is random
asArrayList(Iterator<? extends T>) Iterables
Creates an ArrayList containing all of the Objects returned by the given Iterator.
ASBCunkDict edu.stanford.nlp.tagger.maxent
ASCENDING_COMPARATOR ScoredComparator
asCharacterArray(String) Characters
Map a String to an array of type Character.
ASCII ChineseUtils
ASCII_QUOTES QuoteAnnotator
asCollection(Iterator<? extends E>, CollectionFactory<E>) Iterables
Creates a new Collection from the given CollectionFactory, and adds all of the Objects
returned by the given Iterator.
asCoreLabels(Function<Sentence, Object>...) Sentence
Returns this sentence as a list of CoreLabels representing the sentence.
asCoreMap(Function<Sentence, Object>...) Sentence
Returns this sentence as a CoreNLP CoreMap object.
asCounter(Collection<E>) Counters
Takes in a Collection of something and makes a counter, incrementing once
for each object in the collection.
asCounter(FixedPrioritiesPriorityQueue<E>) Counters
Returns a counter whose keys are the elements in this priority queue, and
whose counts are the priorities in this queue.
asDependencyTree() RelationTriple
An optional method, returning the dependency tree this triple was extracted from
asDependencyTree() RelationTriple.WithTree
An optional method, returning the dependency tree this triple was extracted from
asDOTString() TransducerGraph
asDoubleArray(Collection<Double>) CollectionUtils
asExpression(Env, Object) Expressions
asFeatures() CRFDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() BasicDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() BasicDocument
Returns this (the features are the list of words).
asFeatures() Featurizable
returns Object as a Collection of its features
asFeatures() RVFDatum
Returns the list of features without values
asFeaturesCounter() RVFDatum
Returns the Counter of features and values
asFeatureVals() CRFDatum
Returns the double array containing the feature values
asHashSet(Iterator<? extends T>) Iterables
Creates a HashSet containing all of the Objects returned by the given Iterator.
asImmutableSet(T[]) ArrayUtils
Return an immutable Set containing the same elements as the specified
array.
asIntArray(Collection<Integer>) CollectionUtils
asList() ArrayHeap
asList(int[]) ArrayUtils
needed because Arrays.asList() won't to autoboxing,
so if you give it a primitive array you get a
singleton list back with just that array as an element.
asList(int[]) CollectionUtils
asList(double[]) CollectionUtils
asList() Pair
asList() Quadruple
asList() TreeShapedStack
Returns the current stack as a list
asList() Triple
asMap(Counter<E>) Counters
Returns a map view of the given counter.
asMap(Properties) PropertiesUtils
Tired of Properties not behaving like Map<String,String>s? This method will solve that problem for you.
asNormalizedCounter(C) Counters
L1 normalize a counter.
asObject(Env, Object) Expressions
ASPECT_MARKER ChineseGrammaticalRelations
The "aspect marker" grammatical relation.
asPrimitiveDoubleArray(Collection<Double>) ArrayUtils
asPrimitiveIntArray(Collection<Integer>) ArrayUtils
asProperties(String...) PropertiesUtils
Create a Properties object from the passed in String arguments.
asSentence() RelationTriple
Return the given relation triple as a flat sentence
assertFinite(double[], String) ArrayMath
asSet(T[]) ArrayUtils
Return a Set containing the same elements as the specified array.
asSet(T...) CollectionUtils
Returns a new Set containing all the objects in the specified array.
assign(Expression) AssignableExpression
assign(Expression) Expressions.AssignableFunctionCallExpression
assign(Expression) Expressions.RegexMatchVarExpression
assign(Expression) Expressions.VarExpression
AssignableExpression(Env) TokenSequenceParser
AssignableExpression edu.stanford.nlp.ling.tokensregex.types
This interface represents an expression that can be assigned to.
AssignableFunctionCallExpression(String, List<Expression>, String...) Expressions.AssignableFunctionCallExpression
AssignableNestedVarExpression(Env) TokenSequenceParser
AssignableVar(Env) TokenSequenceParser
assignGroupIds(int) SequencePattern.AndPatternExpr
assignGroupIds(int) SequencePattern.BackRefPatternExpr
assignGroupIds(int) SequencePattern.GroupPatternExpr
assignGroupIds(int) SequencePattern.MultiNodePatternExpr
assignGroupIds(int) SequencePattern.NodePatternExpr
assignGroupIds(int) SequencePattern.OrPatternExpr
assignGroupIds(int) SequencePattern.PatternExpr
Assigns group ids to groups embedded in this patterns starting with at the specified number,
returns the next available group id.
assignGroupIds(int) SequencePattern.RepeatPatternExpr
assignGroupIds(int) SequencePattern.SequencePatternExpr
assignGroupIds(int) SequencePattern.SpecialNodePatternExpr
assignGroupIds(int) SequencePattern.ValuePatternExpr
assignIds RuleBasedCorefMentionFinder
assignMentionIDs(List<List<Mention>>, int) RuleBasedCorefMentionFinder
assignMentionIDs(List<List<Mention>>, int) DependencyCorefMentionFinder
AssignmentRule(Env) TokenSequenceParser
AssignmentRule(AssignableExpression, Expression) SequenceMatchRules.AssignmentRule
assignOriginalID() Document
When there is no mentionID information (without gold annotation), assign mention IDs
assignSyntacticHead(EntityMention, Tree, List<CoreLabel>, boolean) GenericDataSetReader
Find the index of the head of an entity.
ASSOCIATIVE_MODIFIER ChineseGrammaticalRelations
The "associative modifier" (assmod) grammatical relation (Chinese-specific).
asSortedList() Beam
asString(Properties) PropertiesUtils
Convert from Properties to String.
assumedTruth ClauseSplitterSearchProblem
The assumed truth of the original clause.
assumedTruth SentenceFragment
The assumed truth of this fragment; this is relevant for what entailments are supported
ASSUMEDTRUTH_FIELD_NUMBER CoreNLPProtos.SentenceFragment
aStringArrToByteArr(String[]) ConvertByteArray
aStringArrToByteArr(String[], int, int) ConvertByteArray
aStringArrToByteArr(byte[], int, String[], int, int) ConvertByteArray
asValue(Env, Object) Expressions
AT RobustTokenizer
atbFactory() ArabicTokenizer
ATBTreeUtils edu.stanford.nlp.trees.international.arabic
Various static convenience methods for processing Arabic parse trees.
attachedNegatedVerb(IndexedWord) SemanticGraph
attachLabels(Tree, Class<? extends CoreAnnotation<Integer>>) SentimentUtils
attachModelToLexicalizedParser() DVParser
attributeMap ExtractionObject
This stores any optional attributes of ExtractionObjects
attributeMap() ExtractionObject
attributes XMLUtils.XMLTag
attributesAgree(Mention, Dictionaries) Mention
Detects if the mention and candidate antecedent agree on all attributes respectively.
attributesAgree(Mention, Dictionaries) Mention
Detects if the mention and candidate antecedent agree on all attributes respectively.
AttributesEqualMatchChecker(K...) ComplexNodePattern.AttributesEqualMatchChecker
AttributesEqualMatchChecker(Class...) CoreMapNodePattern.AttributesEqualMatchChecker
attrs LatticeEdge
AttrValue(Env, Map<String, String>) TokenSequenceParser
aType Sieve
type of mention we want to compare to.
ATYPE_PROP CorefProperties
aTypeStr Sieve
augmentedDateChars SeqClassifierFlags
AUGUST SUTime
AuthorAnnotation() CoreAnnotations.AuthorAnnotation
AutomatonMinimizer edu.stanford.nlp.fsm
AUX_MODIFIER EnglishGrammaticalRelations
The "auxiliary" grammatical relation.
AUX_MODIFIER ChineseGrammaticalRelations
The "auxiliary" (aux) grammatical relation.
AUX_MODIFIER UniversalEnglishGrammaticalRelations
An auxiliary of a clause is a non-main verb of the clause,
e.g., a modal auxiliary, or a form of be, do or have in a
periphrastic tense.
AUX_PASSIVE_MODIFIER EnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER ChineseGrammaticalRelations
The "auxiliary passive" (auxpass) grammatical relation.
AUX_PASSIVE_MODIFIER UniversalEnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
auxDataPath MachineReadingProperties
auxReader MachineReading
auxTrueCaseModels SeqClassifierFlags
available() ReaderInputStream
average(double[]) ArrayMath
average(Counter<E>, Counter<E>) Counters
Returns a new Counter with counts averaged from the two given Counters.
averageCount() IntCounter
Returns the mean of all the counts (totalCount/size).
averagedModels ShiftReduceTrainOptions
If set to 0, training outputs the last model produced, regardless
of its score.
averageModels(Collection<PerceptronModel>) PerceptronModel
averagePerceptron SeqClassifierFlags
averageScoredModels(Collection<ScoredObject<PerceptronModel>>) PerceptronModel
awaitTermination(long, TimeUnit) InterruptibleMulticoreWrapper
After a shutdown request, await for the final termination of all
threads.
C SVMLightClassifierFactory
C can be tuned using held-out set or cross-validation
For binary SVM, if C=0, svmlight uses default of 1/(avg x*x)
c ReaderIteratorFactory
The underlying Collection of input sources.
CacheMap K ,V > - Class in edu.stanford.nlp.util
A fixed size hash map with LRU replacement.
CacheMap(int, float, boolean, String) CacheMap
Constructor.
CacheMap(int, float, boolean) CacheMap
CacheMap(int, float) CacheMap
CacheMap(int) CacheMap
cacheNGrams SeqClassifierFlags
CacheParseHypotheses edu.stanford.nlp.parser.dvparser
CacheParseHypotheses(LexicalizedParser) CacheParseHypotheses
calculate(double[]) AdaptedGaussianPriorObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) BiasedLogConditionalObjectiveFunction
calculate(double[]) BiasedLogisticObjectiveFunction
calculate(double[]) GeneralizedExpectationObjectiveFunction
calculate(double[]) LogConditionalObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) LogisticObjectiveFunction
calculate(double[]) SemiSupervisedLogConditionalObjectiveFunction
calculate(float[]) CRFLogConditionalObjectiveFloatFunction
calculate(double[]) CRFLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFLogConditionalObjectiveFunctionForLOP
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFLogConditionalObjectiveFunctionNoisyLabel
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFLogConditionalObjectiveFunctionWithDropout
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFNonLinearLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(float[]) AbstractCachingDiffFloatFunction
Calculate the value at x and the derivative and save them in the respective fields
calculate(double[]) AbstractCachingDiffFunction
Calculate the value at x and the derivative
and save them in the respective fields.
calculate(double[]) DVParserCostAndGradient
calculate(double[]) SentimentCostAndGradient
CALCULATE_IMPORTANCE_PROP CorefProperties
calculateFeatureImportance(Properties) CorefProperties
calculateHeadSpan GenericDataSetReader
If true, sets the head span to match the syntactic head of the extent.
calculatePrecision(Document) CorefScorer
calculatePrecision(Document) ScorerBCubed
calculatePrecision(Document) ScorerMUC
calculatePrecision(Document) ScorerPairwise
calculateProbs(double[][][]) TestSentence
calculateProbs puts log probs of taggings in the probabilities array.
calculateRecall(Document) CorefScorer
calculateRecall(Document) ScorerBCubed
calculateRecall(Document) ScorerMUC
calculateRecall(Document) ScorerPairwise
calculateRVF(double[]) BiasedLogisticObjectiveFunction
calculateRVF(double[]) LogisticObjectiveFunction
calculateScore(Document) CorefScorer
calculatesHessianVectorProduct() StochasticCalculateMethods
calculateStochastic(double[], double[], int[]) LogConditionalObjectiveFunction
This function is used to come up with an estimate of the value / gradient based on only a small
portion of the data (referred to as the batchSize for lack of a better term.
calculateStochastic(double[], double[], int[]) CRFLogConditionalObjectiveFunction
calculateStochastic(double[], double[], int[]) AbstractStochasticCachingDiffFunction
calculateStochastic needs to calculate a stochastic approximation to the derivative and value of
of a function for a given batch of the data.
calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) LogConditionalObjectiveFunction
calculateStochasticFiniteDifference(double[], double[], double, int[]) LogConditionalObjectiveFunction
calculateStochasticGradient(double[], int[]) LogConditionalObjectiveFunction
calculateStochasticGradient(double[], int[]) CRFLogConditionalObjectiveFunction
Performs stochastic gradient update based
on samples indexed by batch, but does not apply regularization.
calculateStochasticGradient(double[], int[]) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient calculation based
on samples indexed by batch and does not apply regularization.
calculateStochasticGradient(double[], int) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient updates based
on samples indexed by batch and do not apply regularization.
calculateStochasticGradientLocal(double[], int[]) LogConditionalObjectiveFunction
calculateStochasticUpdate(double[], double, int[], double) LogConditionalObjectiveFunction
calculateStochasticUpdate(double[], double, int[], double) CRFLogConditionalObjectiveFunction
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
calculateStochasticUpdate(double[], double, int[], double) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
calculateStochasticUpdate(double[], double, int, double) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based
on next batch of batchSize.
calculateWeird1(float[]) CRFLogConditionalObjectiveFloatFunction
CalendarAnnotation() CoreAnnotations.CalendarAnnotation
call() ApplyDepPatterns
call() GetPatternsFromDataMultiClass.LabelWithSeedWords
call() ApplyPatterns
call() CreatePatterns.CreatePatternsThread
CALL_FUNCTION ValueFunctions
callback(Object...) CallbackFunction
CallbackFunction edu.stanford.nlp.util
A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
CallbackFunction() CallbackFunction
canAddArc(Object, Object, Object, Object) TransducerGraph
canApply(Configuration, String) ArcStandard
canApply(Configuration, String) ParsingSystem
Determine whether the given transition is legal for this
configuration.
canChangeEncoding(String, String) DefaultLexicalMapper
canChangeEncoding(String, String) Mapper
Indicates whether child can be converted to another encoding.
CandidatePartOfSpeechAnnotation() ParserAnnotations.CandidatePartOfSpeechAnnotation
CandidatePhrase edu.stanford.nlp.patterns
Created by Sonal Gupta on 11/7/14.
canReach(Configuration, DependencyTree) ArcStandard
capacity() Beam
capitalize(String) StringUtils
Uppercases the first character of a string.
capture(OutputStream) RedwoodConfiguration
Capture a system stream
captureSystemStreams(boolean, boolean) Redwood
Captures System.out and System.err and redirects them
to Redwood logging.
CASE ChineseGrammaticalRelations
The "case" grammatical relation.
CASE_ALLCAPS AceToken
CASE_ALLCAPSORDOTS AceToken
CASE_ALLDIGITS AceToken
CASE_ALLDIGITSORDOTS AceToken
CASE_CAPINI AceToken
CASE_INCAP AceToken
CASE_INSENSITIVE NodePattern
CASE_MARKER UniversalEnglishGrammaticalRelations
The "prepositional modifier" grammatical relation.
CASE_OTHER AceToken
casedDistSim SeqClassifierFlags
Whether to (not) lowercase tokens before looking them up in distsim
lexicon.
CaseExpression(Env) TokenSequenceParser
CaseExpression(List<Pair<Expression, Expression>>, Expression) Expressions.CaseExpression
caseInsensitive PhraseTable
cast(Iterable<?>, Class<? extends T>) Iterables
Casts all values in the given Iterable to the given type.
cast(String, Type) MetaClass
Cast a String representation of an object into that object.
castToInt(double[][]) ArrayMath
castWithoutKnowingType(String) MetaClass
category() CategoryWordTag
category() CoreLabel
Return the category value of the label (or null if none).
category() HasCategory
Return the category value of the label (or null if none).
CATEGORY_FIELD_NUMBER CoreNLPProtos.Token
categoryAndFunction(String) AbstractTreebankLanguagePack
Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) TreebankLanguagePack
Returns the syntactic category and 'function' of a String.
CategoryAnnotation() CoreAnnotations.CategoryAnnotation
CategoryFunctionalTagAnnotation() CoreAnnotations.CategoryFunctionalTagAnnotation
CategoryWordTag edu.stanford.nlp.ling
A CategoryWordTag object acts as a complex Label
which contains a category, a head word, and a tag.
CategoryWordTag() CategoryWordTag
CategoryWordTag(String) CategoryWordTag
This one argument constructor sets just the value.
CategoryWordTag(String, String, String) CategoryWordTag
CategoryWordTag(Label) CategoryWordTag
Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory edu.stanford.nlp.ling
A CategoryWordTagFactory is a factory that makes
a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() CategoryWordTagFactory
CatErrorEval(String) AbstractEval.CatErrorEval
CBEval(String, boolean) Evalb.CBEval
cCommands(Tree, Tree) Tree
Given nodes t1 and t2 which are
dominated by this node, returns true iff
t1 c-commands t2.
ccompObjVerbRegex EnglishPatterns
ccompVerbRegex EnglishPatterns
CCtransform(Tree) CoordinationTransformer
Transforms t if it contains a coordination in a flat structure
CEDict edu.stanford.nlp.trees.international.pennchinese
Centuries JodaTimeUtils
CENTURY SUTime
cf CollectionValuedMap
cf TwoDimensionalCollectionValuedMap
CGMinimizer edu.stanford.nlp.optimization
Conjugate-gradient implementation based on the code in Numerical
Recipes in C.
CGMinimizer() CGMinimizer
Basic constructor, use this.
CGMinimizer(boolean) CGMinimizer
Pass in false to get per-iteration progress reports
(to stderr).
CGMinimizer(Function) CGMinimizer
Perform minimization with monitoring.
CGRunner edu.stanford.nlp.maxent
This class will call an optimization method such as Conjugate Gradient or
Quasi-Newton on a LambdaSolve object to find
optimal parameters, including imposing a Gaussian prior on those
parameters.
CGRunner(LambdaSolve, String) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer,
specifying a value for sigma2 .
CGRunner(LambdaSolve, String, double, double) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double, double[]) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
chain(Comparator<? super T>, Comparator<? super T>) Comparators
Returns a new Comparator which is the result of chaining the
given Comparators.
chain(List<Comparator<? super T>>) Comparators
Returns a new Comparator which is the result of chaining the
given Comparators.
chain(Comparator<? super T>...) Comparators
chain(Iterable<? extends Iterable<T>>) Iterables
Chains together a set of Iterables of compatible types.
chain(Iterable<T>...) Iterables
Chains together all Iterables of type T as given in an array or
varargs parameter.
chain(T[]...) Iterables
Chains together all arrays of type T[] as given in an array or
varargs parameter.
chain(LogRecordHandler[], RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
Apply each of the handlers to incoming log messages, in sequence.
chain(LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
CHAINID_FIELD_NUMBER CoreNLPProtos.CorefChain
changeFeatureIndex(Index<F>) Dataset
changeLabelIndex(Index<L>) Dataset
changePriority(E, double) BinaryHeapPriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
changePriority(E, double) FixedPrioritiesPriorityQueue
Not supported in this implementation.
changePriority(E, double) PriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
changeScore(double) SentenceFragment
Changes the score of this fragment in place.
channelColors OutputHandler
channels(Object...) Redwood
Create an object representing a group of channels.
channels() Redwood.Record
Returns the channels for this record, in sorted order (special channels first, then alphabetical)
channels(Object...) Redwood.RedwoodChannels
Creates a new RedwoodChannels object, concatenating the channels from
this RedwoodChannels with some additional channels.
channels(Object...) Redwood.Util
channelSeparatorChar OutputHandler
Character used to join multiple channel names
channelStyles OutputHandler
channelWidth(int) RedwoodConfiguration
Set the width of the channels (or 0 to not show channels)
characterOffsetBegin() Sentence
characterOffsetBegin(int) Sentence
The character offset of the given index in the sentence.
CHARACTEROFFSETBEGIN_FIELD_NUMBER CoreNLPProtos.Sentence
CharacterOffsetBeginAnnotation() CoreAnnotations.CharacterOffsetBeginAnnotation
characterOffsetEnd() Sentence
characterOffsetEnd(int) Sentence
The end character offset of the given index in the sentence.
CHARACTEROFFSETEND_FIELD_NUMBER CoreNLPProtos.Sentence
CharacterOffsetEndAnnotation() CoreAnnotations.CharacterOffsetEndAnnotation
characters(char[], int, int) TransformXML.SAXInterface
Characters edu.stanford.nlp.util
Character-level utilities.
CharactersAnnotation() ChineseCoreAnnotations.CharactersAnnotation
CharAnnotation() CoreAnnotations.CharAnnotation
charArrToByteArr(char[]) ConvertByteArray
charArrToByteArr(char[], int, int) ConvertByteArray
charArrToByteArr(byte[], int, char[], int, int) ConvertByteArray
charHalfWindow SeqClassifierFlags
CharniakParser edu.stanford.nlp.parser.charniak
Runs charniak parser using command line
CharniakParser() CharniakParser
CharniakParser(String, String) CharniakParser
CharniakParserAnnotator edu.stanford.nlp.pipeline
This class will add parse information to an Annotation from the BLLIP parser.
CharniakParserAnnotator(String, String, boolean, int) CharniakParserAnnotator
CharniakParserAnnotator() CharniakParserAnnotator
CharniakScoredParsesReaderWriter edu.stanford.nlp.parser.charniak
Utility routines for printing/reading scored parses for the Charniak Parser
CharniakScoredParsesReaderWriter() CharniakScoredParsesReaderWriter
charOffsets MatchedExpression
Character offsets (relative to original text).
chart BiLexPCFGParser
charTags ChineseTreebankParserParams
cheatPCFG TrainOptions
Add all test set trees to training data for PCFG.
check() IntervalTree
check(IntervalTree.TreeNode<E, T>) IntervalTree
checkArgs(List<Value>) ValueFunction
Checks if the arguments are valid.
checkArgs(List<Value>) ValueFunctions.BooleanFunction
checkArgs(List<Value>) ValueFunctions.CompareFunction
checkArgs(List<Value>) ValueFunctions.NumericFunction
checkArgs(List<Value>) ValueFunctions.StringFunction
checkArgs(List<Value>) ValueFunctions.TypeCheckedFunction
checkClusters(Logger, String, Document) SieveCoreferenceSystem
checkConstructor(Object...) MetaClass
checkCorrectness() LambdaSolve
Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() LambdaSolveTagger
Works out whether the model expectations match the empirical
expectations.
checkCrossing(Set<Constituent>, Set<Constituent>) Evalb.CBEval
checkDic(String, SeqClassifierFlags) NonDict2
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) NameMatch
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) NameMatch
checkError() RedwoodPrintStream
checkFlagExclusiveSet(int, int, int) Interval
Utility function to check if a particular flag is set exclusively
given a particular set of flags and a mask.
checkFlagSet(int, int) Interval
Utility function to check if a particular flag is set
given a particular set of flags.
checkGradient SeqClassifierFlags
checkMemory(Properties) CorefProperties
checkMultipleBitSet(int) Interval
Utility function to check if multiple bits are set for flags
checkNameList SeqClassifierFlags
checkOffsets(CoreMap) ChunkAnnotationUtils
Checks if offsets of doc and sentence matches
checkProperties(Properties, Properties) PropertiesUtils
Checks to make sure that all properties specified in properties
are known to the program by checking that each simply overrides
a default value.
checkRequiredProperties(Properties, String...) StringUtils
If any of the given list of properties are not found, returns the
name of that property.
checkTime(Properties) CorefProperties
checkWordListMatch(PhraseTable.Phrase, PhraseTable.WordList, int, int, int, boolean) PhraseTable
child UnaryRule
CHILD_FIELD_NUMBER CoreNLPProtos.ParseTree
childFilteredEval(String, boolean, TreebankLanguagePack, String) FilteredEval
Returns an eval which is good for counting the attachment of
specific node types.
childPairs(IndexedWord) SemanticGraph
Returns a list of pairs of a relation name and the child
IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) SemanticGraph
Returns a list of relations which this node has with its children.
children TrieMap
Child tries
children() LabeledScoredTreeNode
Returns an array of children for the current node, or null
if it is a leaf.
children() SimpleTree
Returns an array of children for the current node, or null
if it is a leaf.
children() Tree
Returns an array of children for the current node.
children TreeGraphNode
Children of this node.
children() TreeGraphNode
Returns an array of the children of this node.
children() Redwood.RecordHandlerTree
ChildrenAnnotation() TimeExpression.ChildrenAnnotation
childTab TreeJPanel.WidthResult
CHINESE FontDetector
Chinese_VALUE CoreNLPProtos.Language
Chinese = 3;
ChineseCharacterBasedLexicon edu.stanford.nlp.parser.lexparser
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) ChineseCharacterBasedLexicon
ChineseCharAnnotation() CoreAnnotations.ChineseCharAnnotation
ChineseCollinizer edu.stanford.nlp.trees.international.pennchinese
Performs collinization operations on Chinese trees similar to
those for English Namely:
strips all functional & automatically-added tags
strips all punctuation
merges PRN and ADVP
eliminates ROOT (note that there are a few non-unary ROOT nodes;
these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) ChineseCollinizer
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) ChineseCollinizer
chineseColonAcceptFilter() ChineseTreebankLanguagePack
chineseCommaAcceptFilter() ChineseTreebankLanguagePack
ChineseCoreAnnotations edu.stanford.nlp.ling
ChineseCoreAnnotations.CharactersAnnotation edu.stanford.nlp.ling
chineseDashAcceptFilter() ChineseTreebankLanguagePack
ChineseDictionary edu.stanford.nlp.wordseg
This class provides a main method that loads various dictionaries, and
saves them in a serialized version, and runtime compiles them into a word list used as a feature in the segmenter.
ChineseDictionary(String) ChineseDictionary
ChineseDictionary(String[]) ChineseDictionary
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor) ChineseDictionary
ChineseDictionary(String, ChineseDocumentToSentenceProcessor, boolean) ChineseDictionary
The first argument can be one file path, or multiple files separated by
commas.
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor, boolean) ChineseDictionary
ChineseDocumentToSentenceProcessor edu.stanford.nlp.process
Convert a Chinese Document into a List of sentence Strings.
ChineseDocumentToSentenceProcessor() ChineseDocumentToSentenceProcessor
ChineseDocumentToSentenceProcessor(String) ChineseDocumentToSentenceProcessor
chineseDouHaoAcceptFilter() ChineseTreebankLanguagePack
chineseEndSentenceAcceptFilter() ChineseTreebankLanguagePack
ChineseEnglishWordMap edu.stanford.nlp.trees.international.pennchinese
A class for mapping Chinese words to English.
ChineseEnglishWordMap() ChineseEnglishWordMap
Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String, boolean) ChineseEnglishWordMap
ChineseEscaper edu.stanford.nlp.trees.international.pennchinese
An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() ChineseEscaper
ChineseGrammaticalRelations edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructure edu.stanford.nlp.trees.international.pennchinese
A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) ChineseGrammaticalStructure
Construct a new GrammaticalStructure from an
existing parse tree.
ChineseGrammaticalStructure(Tree, Predicate<String>) ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, HeadFinder) ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) ChineseGrammaticalStructure
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) ChineseGrammaticalStructure
Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory() ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>) ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) ChineseGrammaticalStructureFactory
ChineseHeadFinder edu.stanford.nlp.trees.international.pennchinese
HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() ChineseHeadFinder
ChineseHeadFinder(TreebankLanguagePack) ChineseHeadFinder
ChineseHeadMatch edu.stanford.nlp.hcoref.sieve
ChineseHeadMatch() ChineseHeadMatch
ChineseHeadMatch(Properties) ChineseHeadMatch
ChineseIsSegmentedAnnotation() CoreAnnotations.ChineseIsSegmentedAnnotation
chineseLeftParenthesisAcceptFilter() ChineseTreebankLanguagePack
chineseLeftQuoteMarkAcceptFilter() ChineseTreebankLanguagePack
ChineseLexicon edu.stanford.nlp.parser.lexparser
A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) ChineseLexicon
ChineseLexiconAndWordSegmenter edu.stanford.nlp.parser.lexparser
This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) ChineseLexiconAndWordSegmenter
ChineseLexiconAndWordSegmenter(String, Options) ChineseLexiconAndWordSegmenter
Construct a new ChineseLexiconAndWordSegmenter.
ChineseOrigSegAnnotation() CoreAnnotations.ChineseOrigSegAnnotation
chineseOtherAcceptFilter() ChineseTreebankLanguagePack
chineseParenthesisAcceptFilter() ChineseTreebankLanguagePack
chineseQuoteMarkAcceptFilter() ChineseTreebankLanguagePack
chineseRightParenthesisAcceptFilter() ChineseTreebankLanguagePack
chineseRightQuoteMarkAcceptFilter() ChineseTreebankLanguagePack
ChineseSegAnnotation() CoreAnnotations.ChineseSegAnnotation
ChineseSegmenterAnnotator edu.stanford.nlp.pipeline
This class will add segmentation information to an Annotation.
ChineseSegmenterAnnotator() ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(boolean) ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, boolean) ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, boolean, String, String) ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, Properties) ChineseSegmenterAnnotator
ChineseSegmenterFeatureFactory IN extends CoreLabel > - Class in edu.stanford.nlp.wordseg
A Chinese segmenter Feature Factory for GALE project.
ChineseSegmenterFeatureFactory() ChineseSegmenterFeatureFactory
chineseSelectiveTagPA ChineseTreebankParserParams
ChineseSemanticHeadFinder edu.stanford.nlp.trees.international.pennchinese
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
ChineseSemanticHeadFinder() ChineseSemanticHeadFinder
ChineseSemanticHeadFinder(TreebankLanguagePack) ChineseSemanticHeadFinder
ChineseSimWordAvgDepGrammar edu.stanford.nlp.parser.lexparser
A Dependency grammar that smooths by averaging over similar words.
ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) ChineseSimWordAvgDepGrammar
chineseSplitDouHao ChineseTreebankParserParams
Chinese: Split the dou hao (a punctuation mark separating
members of a list) from other punctuation.
chineseSplitPunct ChineseTreebankParserParams
Chinese: split Chinese punctuation several ways, along the lines
of English punctuation plus another category for the dou hao.
chineseSplitPunctLR ChineseTreebankParserParams
Chinese: split left right/paren quote (if chineseSplitPunct is also
true.
chineseSplitVP ChineseTreebankParserParams
Chinese VP splitting.
ChineseStringUtils edu.stanford.nlp.wordseg
ChineseTreebankLanguagePack edu.stanford.nlp.trees.international.pennchinese
Language pack for the UPenn/Colorado Chinese treebank.
ChineseTreebankLanguagePack() ChineseTreebankLanguagePack
ChineseTreebankParserParams edu.stanford.nlp.parser.lexparser
Parameter file for parsing the Penn Chinese Treebank.
ChineseTreebankParserParams() ChineseTreebankParserParams
ChineseUnknownWordModel edu.stanford.nlp.parser.lexparser
Stores, trains, and scores with an unknown word model.
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, boolean, Set<String>) ChineseUnknownWordModel
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) ChineseUnknownWordModel
This constructor creates an UWM with empty data structures.
ChineseUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
ChineseUnknownWordModelTrainer() ChineseUnknownWordModelTrainer
ChineseUtils edu.stanford.nlp.trees.international.pennchinese
This class contains a few String constants and
static methods for dealing with Chinese text.
chineseVerySelectiveTagPA ChineseTreebankParserParams
chiSquare2by2(int, int, int, int) SloppyMath
Find a 2x2 chi-square value.
chomp(String) StringUtils
Returns the supplied string with any trailing '\n' removed.
chomp(Object) StringUtils
Returns the result of calling toString() on the supplied Object, but with
any trailing '\n' removed.
chooseTokenizerFactory() MaxentTagger
Figures out what tokenizer factory might be described by the
config.
chooseTokenizerFactory(boolean, String, String, boolean) MaxentTagger
chooseTopWords(Counter<CandidatePhrase>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<CandidatePhrase>, Set<CandidatePhrase>, double) ScorePhrases
CHTBTokenizer edu.stanford.nlp.trees.international.pennchinese
A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) CHTBTokenizer
Constructs a new tokenizer from a Reader.
ChunkAnnotation() CoreAnnotations.ChunkAnnotation
ChunkAnnotationUtils edu.stanford.nlp.pipeline
Utility functions for annotating chunks
ChunkAnnotationUtils() ChunkAnnotationUtils
chunkOffsets MatchedExpression
Chunk offsets (relative to chunking on top of original text)
classBias SeqClassifierFlags
ClassComparator() Token.ClassComparator
ClassicCounter E > - Class in edu.stanford.nlp.stats
A specialized kind of hash table (or map) for storing numeric counts for
objects.
ClassicCounter() ClassicCounter
Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) ClassicCounter
ClassicCounter(MapFactory<E, MutableDouble>) ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) ClassicCounter
Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) ClassicCounter
Constructs a new Counter by counting the elements in the given Collection.
CLASSIFICATION_MODEL StatisticalCorefTrainer
classificationModelPath(Properties) StatisticalCorefProperties
classificationScores ClustererDataLoader.ClustererDoc
Classifier L ,F > - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points, implemented
by most of the classifiers in this package.
classifier BasicRelationExtractor
Classifier edu.stanford.nlp.parser.nndep
Neural network classifier which powers a transition-based dependency
parser.
Classifier(Config, double[][], double[][], double[], double[][], List<Integer>) Classifier
Instantiate a classifier with previously learned parameters in
order to perform new inference.
Classifier(Config, Dataset, double[][], double[][], double[], double[][], List<Integer>) Classifier
Instantiate a classifier with training data and randomly
initialized parameter matrices in order to begin training.
classifier PairwiseModel
Classifier.Cost edu.stanford.nlp.parser.nndep
Describes the result of feedforward + backpropagation through
the neural network for the batch provided to a `CostFunction.`
CLASSIFIER_MODIFIER ChineseGrammaticalRelations
The "classifier modifier" grammatical relation.
CLASSIFIER_TYPE_PROP CorefProperties
ClassifierCombiner IN extends CoreMap & HasWord > - Class in edu.stanford.nlp.ie
Merges the outputs of two or more AbstractSequenceClassifiers according to
a simple precedence scheme: any given base classifier contributes only
classifications of labels that do not exist in the base classifiers specified
before, and that do not have any token overlap with labels assigned by
higher priority classifiers.
ClassifierCombiner(Properties) ClassifierCombiner
ClassifierCombiner(Properties, ClassifierCombiner.CombinationMode, String...) ClassifierCombiner
Loads a series of base classifiers from the paths specified using the
Properties specified.
ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) ClassifierCombiner
Loads a series of base classifiers from the paths specified using the
Properties specified.
ClassifierCombiner(String...) ClassifierCombiner
Loads a series of base classifiers from the paths specified.
ClassifierCombiner(AbstractSequenceClassifier<IN>...) ClassifierCombiner
Combines a series of base classifiers.
ClassifierCombiner(ObjectInputStream, Properties) ClassifierCombiner
ClassifierCreator L ,F > - Interface in edu.stanford.nlp.classify
Creates a classifier with given weights
ClassifierFactory L ,F ,C extends Classifier <L ,F >> - Interface in edu.stanford.nlp.classify
A simple interface for training a Classifier from a Dataset of training
examples.
classifierFactory ClauseSplitterSearchProblem.TrainingOptions
classifierType Sieve
classifierType SeqClassifierFlags
classify(String) AbstractSequenceClassifier
Classify the tokens in a String.
classify(List<IN>) AbstractSequenceClassifier
classify(List<IN>) ClassifierCombiner
Generates the AnswerAnnotation labels of the combined model for the given
tokens, storing them in place in the tokens.
classify(List<IN>) CRFBiasedClassifier
classify(List<IN>) CRFClassifier
classify(List<IN>) CMMClassifier
classify(List<CoreLabel>) NERClassifierCombiner
classify(List<CoreLabel>) NumberSequenceClassifier
classify(List<CoreLabel>) RegexNERSequenceClassifier
classifyAndWriteAnswers(String) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswers(String, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
If the flag
outputEncoding is defined, the output is written in that
character encoding, otherwise in the system default character encoding.
classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Run the classifier on the documents in an ObjectBank, and print the
answers to a given PrintWriter (with timing to stderr).
classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then write a Viterbi search
graph for each sequence.
classifyFile(String) AbstractSequenceClassifier
Classify the contents of a file.
classifyFilesAndWriteAnswers(Collection<File>) AbstractSequenceClassifier
classifyFilesAndWriteAnswers(Collection<File>, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyGibbs(List<IN>) CRFClassifier
classifyGibbs(List<IN>, Triple<int[][][], int[], double[][][]>) CRFClassifier
classifyKBest(List<IN>, Class<? extends CoreAnnotation<String>>, int) AbstractSequenceClassifier
Takes a list of tokens and provides the K best sequence labelings of these tokens with their scores.
classifyMaxEnt(List<IN>) CRFClassifier
Do standard sequence inference, using either Viterbi or Beam inference
depending on the value of flags.inferenceType.
classifyMentions(List<List<Mention>>, Dictionaries, Properties) MentionDetectionClassifier
classifyRaw(String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Classify the tokens in a String.
classifySentence(List<? extends HasWord>) AbstractSequenceClassifier
Classify a List of IN.
classifySentenceWithGlobalInformation(List<? extends HasWord>, CoreMap, CoreMap) AbstractSequenceClassifier
Classify a List of IN using whatever additional information is passed in globalInfo.
classifyStdin() AbstractSequenceClassifier
classifyStdin(DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
classifyToCharacterOffsets(String) AbstractSequenceClassifier
Classify the contents of a
String to classified character offset
spans.
classifyToString(String, String, boolean) AbstractSequenceClassifier
Classify the contents of a
String to one of several String
representations that shows the classes.
classifyToString(String) AbstractSequenceClassifier
Classify the contents of a String to a tagged word/class String.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) AbstractSequenceClassifier
Classify a
List of something that extends
CoreMap using as
additional information whatever is stored in the document and sentence.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) ClassifierCombiner
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) CRFClassifier
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) CMMClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) NERClassifierCombiner
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) NumberSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) RegexNERSequenceClassifier
classifyWithInlineXML(String) AbstractSequenceClassifier
Classify the contents of a
String.
classIndex AbstractSequenceClassifier
classIndex() CRFCliqueTree
classIndex CRFLogConditionalObjectiveFunction
classIndex EntityCachingAbstractSequencePriorBIO
className ValueFunctions.ParamInfo
classNames RNNOptions
classOf(Datum<L, F>) Classifier
classOf(Datum<String, String>) ColumnDataClassifier
classOf(Datum<L, F>) LinearClassifier
classOf(RVFDatum<L, F>) LinearClassifier
Deprecated.
classOf(Datum<L, F>) LogisticClassifier
classOf(RVFDatum<L, F>) LogisticClassifier
Deprecated.
classOf(Counter<F>) LogisticClassifier
classOf(Collection<F>) LogisticClassifier
classOf(RVFDatum<L, F>) RVFClassifier
classOf(Datum<String, String>, ExtractionObject) BasicRelationExtractor
classOf(List<IN>, int) CMMClassifier
Returns the most likely class for the word at the given position.
classORRestrictionsAsString() Token
CLAUSAL_COMPLEMENT EnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_COMPLEMENT ChineseGrammaticalRelations
The "clausal complement" (ccomp) grammatical relation.
CLAUSAL_COMPLEMENT UniversalEnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_MODIFIER UniversalEnglishGrammaticalRelations
The "clausal modifier of noun" relation.
CLAUSAL_PASSIVE_SUBJECT EnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_PASSIVE_SUBJECT UniversalEnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT EnglishGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT UniversalEnglishGrammaticalRelations
The "clausal subject" grammatical relation.
clausalComplementRegex EnglishPatterns
clauseIntermWeight ClauseSplitterSearchProblem.TrainingOptions
clauseRelations UniversalEnglishGrammaticalRelations
clausesInSentence(SemanticGraph, boolean) OpenIE
Find the clauses in a sentence, where the sentence is expressed as a dependency tree.
clausesInSentence(CoreMap) OpenIE
Find the clauses in a sentence.
ClauseSplitter edu.stanford.nlp.naturalli
Just a convenience alias for a clause splitting search problem factory.
clauseSplitter OpenIE
The clause splitter model, if one is to be used.
ClauseSplitter.ClauseClassifierLabel edu.stanford.nlp.naturalli
ClauseSplitterSearchProblem edu.stanford.nlp.naturalli
A search problem for finding clauses in a sentence.
ClauseSplitterSearchProblem(SemanticGraph, boolean, Optional<Classifier<ClauseSplitter.ClauseClassifierLabel, String>>, Optional<Function<Triple<ClauseSplitterSearchProblem.State, ClauseSplitterSearchProblem.Action, ClauseSplitterSearchProblem.State>, Counter<String>>>) ClauseSplitterSearchProblem
Create a searcher manually, suppling a dependency tree, an optional classifier for when to split clauses,
and a featurizer for that classifier.
ClauseSplitterSearchProblem(SemanticGraph, boolean) ClauseSplitterSearchProblem
Create a clause searcher which searches naively through every possible subtree as a clause.
ClauseSplitterSearchProblem.Action edu.stanford.nlp.naturalli
An action being taken; that is, the type of clause splitting going on.
ClauseSplitterSearchProblem.Featurizer edu.stanford.nlp.naturalli
Mostly just an alias, but make sure our featurizer is serializable!
ClauseSplitterSearchProblem.State edu.stanford.nlp.naturalli
A search state.
ClauseSplitterSearchProblem.TrainingOptions edu.stanford.nlp.naturalli
The options used for training the clause searcher.
clauseSplitWeight ClauseSplitterSearchProblem.TrainingOptions
clean() Features
clean() TwoDimensionalCounter
clean() TwoDimensionalIntCounter
CLEAN_XML_REQUIREMENT Annotator
cleanGazette SeqClassifierFlags
cleanJSON(String) JSONOutputter
cleanTree(SemanticGraph) Util
Fix some bizarre peculiarities with certain trees.
cleanUpLabel(String) BobChrisTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) DependencyTreeTransformer
cleanUpLabel(String) GrammaticalFunctionTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) NegraPennTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) CTBErrorCorrectingTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) TueBaDZPennTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) NPTmpRetainingTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpRoot(String) DependencyTreeTransformer
cleanUpScorer() TestSentence
clean-up after the scorer
cleanXML(Properties, AnnotatorImplementations) AnnotatorFactories
cleanXML(Properties, String, String, String, boolean) AnnotatorImplementations
Clean XML input
CleanXmlAnnotator edu.stanford.nlp.pipeline
An annotator which removes all XML tags (as identified by the
tokenizer) and possibly selectively keeps the text between them.
CleanXmlAnnotator() CleanXmlAnnotator
CleanXmlAnnotator(String, String, String, boolean) CleanXmlAnnotator
clear() GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() DirectedMultiGraph
clears the graph, removes all edges and nodes
clear() Graph
clears the graph, removes all edges and nodes
clear() StringDictionary
clear() StringOutputStream
clear() BoundedCostOrderedMap
clear() TrieMap
clear() PhraseTable
Clears this table
clear() PhraseTable.PhraseStringCollection
clear() ObjectBank
clear() QNMinimizer.QNInfo
clear() CoreNLPProtos.CorefChain.Builder
clear() CoreNLPProtos.CorefChain.CorefMention.Builder
clear() CoreNLPProtos.DependencyGraph.Builder
clear() CoreNLPProtos.DependencyGraph.Edge.Builder
clear() CoreNLPProtos.DependencyGraph.Node.Builder
clear() CoreNLPProtos.Document.Builder
clear() CoreNLPProtos.Entity.Builder
clear() CoreNLPProtos.IndexedWord.Builder
clear() CoreNLPProtos.MapIntString.Builder
clear() CoreNLPProtos.MapStringString.Builder
clear() CoreNLPProtos.Mention.Builder
clear() CoreNLPProtos.NERMention.Builder
clear() CoreNLPProtos.OpenIETriple.Builder
clear() CoreNLPProtos.Operator.Builder
clear() CoreNLPProtos.ParseTree.Builder
clear() CoreNLPProtos.Polarity.Builder
clear() CoreNLPProtos.Quote.Builder
clear() CoreNLPProtos.Relation.Builder
clear() CoreNLPProtos.Sentence.Builder
clear() CoreNLPProtos.SentenceFragment.Builder
clear() CoreNLPProtos.Span.Builder
clear() CoreNLPProtos.SpeakerInfo.Builder
clear() CoreNLPProtos.Timex.Builder
clear() CoreNLPProtos.Token.Builder
clear() ObjectBankWrapper
clear() ClassicCounter
Removes all entries from the counter.
clear() Counter
Removes all entries from the counter.
clear() IntCounter
Removes all counts from this Counter.
clear() TwoDimensionalCounter
clears the map, total and default value
clear() SUTime.TimeIndex
clear() CompositeTreebank
clear() DiskTreebank
Empty a Treebank.
clear() FilteringTreebank
Empty a Treebank.
clear() MemoryTreebank
Empty a Treebank.
clear() TransformingTreebank
Empty a Treebank.
clear() Treebank
Empty a Treebank.
clear() ArrayHeap
Clears the heap.
clear() ArrayMap
clear() BinaryHeapPriorityQueue
Clears the queue.
clear() CollectionValuedMap
Clears this Map.
clear() ConcurrentHashIndex
clear() SynchronizedInterner
clear() DeltaCollectionValuedMap
This is more expensive than normal.
clear() DeltaIndex
We don't want to change the backing index in any way, and "clear"
would have to entail doing that, so we just throw an
UnsupportedOperationException instead
clear() DeltaMap
This is more expensive than normal.
clear(int, int) EditDistance
clear() FixedPrioritiesPriorityQueue
clear() HashIndex
Clears this Index.
clear() IdentityHashSet
Removes all of the elements from this set.
clear() Index
clear() Interner
clear() IntervalTree
clear() IntervalTree.TreeNode
clear() RedwoodConfiguration
Clear any custom configurations to Redwood
clear() MaxSizeConcurrentHashSet
clear() TwoDimensionalCollectionValuedMap
clear() TwoDimensionalMap
clear() TwoDimensionalSet
clear2D(double[][]) CRFLogConditionalObjectiveFunction
clearAfter() CoreNLPProtos.Token.Builder
optional string after = 6;
clearAll() FilePanel
Removes all files from the panel
clearAlternativeDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
clearAltValue() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
clearAnimacy() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
clearAnimacy() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
clearAnnotatedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
clearAnnotatorPool() StanfordCoreNLP
Call this if you are no longer using StanfordCoreNLP and want to
release the memory associated with the annotators.
clearAnswer() CoreNLPProtos.Token.Builder
optional string answer = 24;
clearAppositions() CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
clearArg() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
clearArgName() CoreNLPProtos.Relation.Builder
repeated string argName = 6;
clearAssumedTruth() CoreNLPProtos.SentenceFragment.Builder
optional bool assumedTruth = 3;
clearBasicDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
clearBefore() CoreNLPProtos.Token.Builder
optional string before = 5;
clearBegin() CoreNLPProtos.Quote.Builder
optional uint32 begin = 2;
clearBegin() CoreNLPProtos.Span.Builder
required uint32 begin = 1;
clearBeginChar() CoreNLPProtos.Token.Builder
optional uint32 beginChar = 11;
clearBeginIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 beginIndex = 6;
clearBeginIndex() CoreNLPProtos.Token.Builder
optional uint32 beginIndex = 15;
clearBeginPoint() CoreNLPProtos.Timex.Builder
optional uint32 beginPoint = 6;
clearBelongToLists() CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
clearBinarizedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
clearCache() AbstractCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-)
clearCache() AbstractStochasticCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-)
clearCategory() CoreNLPProtos.Token.Builder
optional string category = 4;
clearChainID() CoreNLPProtos.CorefChain.Builder
required int32 chainID = 1;
clearCharacterOffsetBegin() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetBegin = 5;
clearCharacterOffsetEnd() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetEnd = 6;
clearChild() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
clearCoarseTag() CoreNLPProtos.Token.Builder
optional string coarseTag = 33;
clearCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
clearCollapsedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
clearConfidence() CoreNLPProtos.OpenIETriple.Builder
optional double confidence = 4;
clearConllUFeatures() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
clearConllUMisc() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
clearConllUSecondaryDeps() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
clearConllUTokenSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
clearCopyAnnotation() CoreNLPProtos.DependencyGraph.Node.Builder
optional uint32 copyAnnotation = 3;
clearCopyCount() CoreNLPProtos.IndexedWord.Builder
optional uint32 copyCount = 4;
clearCorefChain() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
clearCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 corefClusterID = 15;
clearCorefClusterID() CoreNLPProtos.Token.Builder
optional uint32 corefClusterID = 23;
clearCorefID() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
clearCounts() MultiClassChunkEvalStats
clearCounts() MultiClassPrecisionRecallExtendedStats
clearDep() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
clearDependents() CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
clearDependingVerb() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
clearDocID() CoreNLPProtos.Document.Builder
optional string docID = 4;
clearDocID() CoreNLPProtos.IndexedWord.Builder
optional uint32 docID = 3;
clearDocid() CoreNLPProtos.Quote.Builder
optional string docid = 9;
clearEdge() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
clearEnd() CoreNLPProtos.Quote.Builder
optional uint32 end = 3;
clearEnd() CoreNLPProtos.Span.Builder
required uint32 end = 2;
clearEndChar() CoreNLPProtos.Token.Builder
optional uint32 endChar = 12;
clearEndIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 endIndex = 7;
clearEndIndex() CoreNLPProtos.Mention.Builder
optional uint32 endIndex = 9;
clearEndIndex() CoreNLPProtos.Token.Builder
optional uint32 endIndex = 16;
clearEndPoint() CoreNLPProtos.Timex.Builder
optional uint32 endPoint = 7;
clearEntailedSentence() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
clearEntity() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
clearEntityType() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
clearError() RedwoodPrintStream
clearExtentEnd() CoreNLPProtos.Entity.Builder
optional uint32 extentEnd = 3;
clearExtentEnd() CoreNLPProtos.Relation.Builder
optional uint32 extentEnd = 3;
clearExtentStart() CoreNLPProtos.Entity.Builder
optional uint32 extentStart = 2;
clearExtentStart() CoreNLPProtos.Relation.Builder
optional uint32 extentStart = 2;
clearGender() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
clearGender() CoreNLPProtos.Mention.Builder
optional string gender = 4;
clearGender() CoreNLPProtos.Token.Builder
optional string gender = 51;
clearGeneric() CoreNLPProtos.Mention.Builder
optional bool generic = 25;
clearGoldCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 goldCorefClusterID = 14;
clearGradientHistories() Classifier
Clear all gradient histories used for AdaGrad training.
clearGradientsPerIter Config
During training, clear AdaGrad gradient histories after every
clearGradientsPerIter iterations.
clearHandlers() Redwood
Remove all log handlers from Redwood, presumably in order to
construct a custom pipeline afterwards
clearHasBasicDependency() CoreNLPProtos.Mention.Builder
optional bool hasBasicDependency = 27;
clearHasCollapsedDependency() CoreNLPProtos.Mention.Builder
optional bool hasCollapsedDependency = 28;
clearHasContextParseTree() CoreNLPProtos.Mention.Builder
optional bool hasContextParseTree = 29;
clearHasCorefMentionsAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasCorefMentionsAnnotation = 57;
clearHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasNumerizedTokensAnnotation = 54;
clearHasRelationAnnotations() CoreNLPProtos.Sentence.Builder
optional bool hasRelationAnnotations = 51;
clearHasTwin() CoreNLPProtos.Mention.Builder
optional bool hasTwin = 24;
clearHasXmlContext() CoreNLPProtos.Token.Builder
optional bool hasXmlContext = 21;
clearHeadEnd() CoreNLPProtos.Entity.Builder
optional uint32 headEnd = 7;
clearHeadIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 headIndex = 9;
clearHeadIndex() CoreNLPProtos.Mention.Builder
optional uint32 headIndex = 10;
clearHeadIndexedWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
clearHeadStart() CoreNLPProtos.Entity.Builder
optional uint32 headStart = 6;
clearHeadString() CoreNLPProtos.Mention.Builder
optional string headString = 11;
clearHeadTokenIndex() CoreNLPProtos.Entity.Builder
optional uint32 headTokenIndex = 10;
clearHeadWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
clearHeadWordIndex() CoreNLPProtos.Token.Builder
optional uint32 headWordIndex = 26;
clearIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 index = 2;
clearIndex() CoreNLPProtos.Quote.Builder
optional uint32 index = 10;
clearIsDirectObject() CoreNLPProtos.Mention.Builder
optional bool isDirectObject = 21;
clearIsExtra() CoreNLPProtos.DependencyGraph.Edge.Builder
optional bool isExtra = 4;
clearIsIndirectObject() CoreNLPProtos.Mention.Builder
optional bool isIndirectObject = 22;
clearIsPrepositionObject() CoreNLPProtos.Mention.Builder
optional bool isPrepositionObject = 23;
clearIsSingleton() CoreNLPProtos.Mention.Builder
optional bool isSingleton = 26;
clearIsSubject() CoreNLPProtos.Mention.Builder
optional bool isSubject = 20;
clearIstmod() CoreNLPProtos.OpenIETriple.Builder
optional bool istmod = 9;
clearKBestParseTrees() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
clearKey() CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
clearKey() CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
clearLanguage() CoreNLPProtos.DependencyGraph.Edge.Builder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
clearLemma() CoreNLPProtos.Token.Builder
optional string lemma = 10;
clearListMembers() CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
clearMatches() DisplayMatchesPanel
Remove all trees from the display
clearMemory() NERFeatureFactory
clearMemory() ObjectBank
If you are keeping the contents in memory,
this will clear the memory, and they will be
recomputed the next time iterator() is
called.
clearMemory() ObjectBankWrapper
clearMention() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
clearMentionID() CoreNLPProtos.CorefChain.CorefMention.Builder
optional int32 mentionID = 1;
clearMentionID() CoreNLPProtos.Mention.Builder
optional int32 mentionID = 1;
clearMentionNum() CoreNLPProtos.Mention.Builder
optional uint32 mentionNum = 16;
clearMentions() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
clearMentions() CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
clearMentionsForCoref() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
clearMentionType() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
clearMentionType() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
clearMentionType() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
clearName() CoreNLPProtos.Operator.Builder
required string name = 1;
clearNer() CoreNLPProtos.NERMention.Builder
required string ner = 4;
clearNer() CoreNLPProtos.Token.Builder
optional string ner = 8;
clearNerString() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
clearNode() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
clearNodeScope(Node) JJTTsurgeonParserState
clearNormalizedName() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
clearNormalizedNER() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
clearNormalizedNER() CoreNLPProtos.Token.Builder
optional string normalizedNER = 9;
clearNumber() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
clearNumber() CoreNLPProtos.Mention.Builder
optional string number = 3;
clearObject() CoreNLPProtos.OpenIETriple.Builder
optional string object = 3;
clearObjectID() CoreNLPProtos.Entity.Builder
optional string objectID = 1;
clearObjectID() CoreNLPProtos.Relation.Builder
optional string objectID = 1;
clearObjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 objectSpanBegin = 6;
clearObjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 objectSpanEnd = 7;
clearObjectTokens() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 objectTokens = 7;
clearOpenieTriple() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
clearOperator() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
clearOriginalRef() CoreNLPProtos.Mention.Builder
optional uint32 originalRef = 13;
clearOriginalSpan() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
clearOriginalText() CoreNLPProtos.Token.Builder
optional string originalText = 7;
clearParagraph() CoreNLPProtos.Mention.Builder
optional uint32 paragraph = 19;
clearParagraph() CoreNLPProtos.Sentence.Builder
optional uint32 paragraph = 11;
clearParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
clearPerson() CoreNLPProtos.Mention.Builder
optional string person = 6;
clearPolarity() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
clearPos() CoreNLPProtos.Token.Builder
optional string pos = 2;
clearPosition() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 position = 11;
clearPredicateNominatives() CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
clearPrefixBe() CoreNLPProtos.OpenIETriple.Builder
optional bool prefixBe = 10;
clearPreprocessedTerms() CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
clearProjectAlternation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
clearProjectCover() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
clearProjectEquivalence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
clearProjectForwardEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
clearProjectIndependence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
clearProjectNegation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
clearProjectReverseEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
clearQuantifierSpanBegin() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanBegin = 2;
clearQuantifierSpanEnd() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanEnd = 3;
clearQuotationIndex() CoreNLPProtos.Token.Builder
optional int32 quotationIndex = 31;
clearQuote() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
clearRelation() CoreNLPProtos.OpenIETriple.Builder
optional string relation = 2;
clearRelation() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
clearRelationTokens() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 relationTokens = 6;
clearRelativePronouns() CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
clearRepresentative() CoreNLPProtos.CorefChain.Builder
required uint32 representative = 3;
clearRoot() CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
clearRoot() CoreNLPProtos.SentenceFragment.Builder
optional uint32 root = 2;
clearScore() CoreNLPProtos.ParseTree.Builder
optional double score = 5;
clearScore() CoreNLPProtos.SentenceFragment.Builder
optional double score = 4;
clearSentence() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
clearSentenceBegin() CoreNLPProtos.Quote.Builder
optional uint32 sentenceBegin = 5;
clearSentenceEnd() CoreNLPProtos.Quote.Builder
optional uint32 sentenceEnd = 6;
clearSentenceID() CoreNLPProtos.Sentence.Builder
optional string sentenceID = 58;
clearSentenceIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 sentenceIndex = 10;
clearSentenceIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 sentenceIndex = 1;
clearSentenceIndex() CoreNLPProtos.NERMention.Builder
optional uint32 sentenceIndex = 1;
clearSentenceIndex() CoreNLPProtos.Sentence.Builder
optional uint32 sentenceIndex = 4;
clearSentencelessToken() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
clearSentenceNum() CoreNLPProtos.IndexedWord.Builder
optional uint32 sentenceNum = 1;
clearSentenceWords() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
clearSentiment() CoreNLPProtos.ParseTree.Builder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
clearSentiment() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
clearSentiment() CoreNLPProtos.Token.Builder
optional string sentiment = 30;
clearSentNum() CoreNLPProtos.Mention.Builder
optional uint32 sentNum = 17;
clearSignature() CoreNLPProtos.Relation.Builder
optional string signature = 8;
clearSource() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 source = 1;
clearSourceCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 sourceCopy = 5;
clearSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span span = 29;
clearSpeaker() CoreNLPProtos.Token.Builder
optional string speaker = 14;
clearSpeakerInfo() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
clearSpeakerName() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
clearStartIndex() CoreNLPProtos.Mention.Builder
optional uint32 startIndex = 7;
clearSubject() CoreNLPProtos.OpenIETriple.Builder
optional string subject = 1;
clearSubjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 subjectSpanBegin = 4;
clearSubjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 subjectSpanEnd = 5;
clearSubjectTokens() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 subjectTokens = 5;
clearSubtype() CoreNLPProtos.Entity.Builder
optional string subtype = 5;
clearSubtype() CoreNLPProtos.Relation.Builder
optional string subtype = 5;
clearSuffixBe() CoreNLPProtos.OpenIETriple.Builder
optional bool suffixBe = 11;
clearSuffixOf() CoreNLPProtos.OpenIETriple.Builder
optional bool suffixOf = 12;
clearTarget() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 target = 2;
clearTargetCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 targetCopy = 6;
clearText() CoreNLPProtos.Document.Builder
required string text = 1;
clearText() CoreNLPProtos.Quote.Builder
optional string text = 1;
clearText() CoreNLPProtos.Sentence.Builder
optional string text = 12;
clearText() CoreNLPProtos.Timex.Builder
optional string text = 3;
clearTid() CoreNLPProtos.Timex.Builder
optional string tid = 5;
clearTimex() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
clearTimexValue() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
clearToken() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
clearTokenBegin() CoreNLPProtos.Quote.Builder
optional uint32 tokenBegin = 7;
clearTokenBeginIndex() CoreNLPProtos.Token.Builder
optional uint32 tokenBeginIndex = 17;
clearTokenEnd() CoreNLPProtos.Quote.Builder
optional uint32 tokenEnd = 8;
clearTokenEndIndex() CoreNLPProtos.Token.Builder
optional uint32 tokenEndIndex = 18;
clearTokenEndInSentenceExclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenEndInSentenceExclusive = 3;
clearTokenIndex() CoreNLPProtos.IndexedWord.Builder
optional uint32 tokenIndex = 2;
clearTokenIndex() CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
clearTokenOffsetBegin() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetBegin = 2;
clearTokenOffsetEnd() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetEnd = 3;
clearTokenStartInSentenceInclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenStartInSentenceInclusive = 2;
clearTree() CoreNLPProtos.OpenIETriple.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
clearTrueCase() CoreNLPProtos.Token.Builder
optional string trueCase = 52;
clearTrueCaseText() CoreNLPProtos.Token.Builder
optional string trueCaseText = 53;
clearType() CoreNLPProtos.Entity.Builder
optional string type = 4;
clearType() CoreNLPProtos.Relation.Builder
optional string type = 4;
clearType() CoreNLPProtos.Timex.Builder
optional string type = 4;
clearUtter() CoreNLPProtos.Mention.Builder
optional uint32 utter = 18;
clearUtterance() CoreNLPProtos.Token.Builder
optional uint32 utterance = 13;
clearValue() CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
clearValue() CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
clearValue() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
clearValue() CoreNLPProtos.Timex.Builder
optional string value = 1;
clearValue() CoreNLPProtos.Token.Builder
optional string value = 3;
clearVariables() Env
clearWord() CoreNLPProtos.Token.Builder
required string word = 1;
clearXmlContext() CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
clearYieldBeginIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldBeginIndex = 3;
clearYieldEndIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldEndIndex = 4;
Clique edu.stanford.nlp.sequences
This class is meant to represent a clique in a (directed
or undirected) linear-chain graphical model.
cliqueC FeatureFactory
cliqueCnC FeatureFactory
cliqueCp2C FeatureFactory
cliqueCp3C FeatureFactory
cliqueCp4C FeatureFactory
cliqueCp5C FeatureFactory
cliqueCpC FeatureFactory
cliqueCpCnC FeatureFactory
cliqueCpCp2C FeatureFactory
cliqueCpCp2Cp3C FeatureFactory
cliqueCpCp2Cp3Cp4C FeatureFactory
cliqueCpCp2Cp3Cp4Cp5C FeatureFactory
cliquePotentialFunc CRFLogConditionalObjectiveFunction
CliquePotentialFunction edu.stanford.nlp.ie.crf
clone() TransducerGraph
clone() CoreNLPProtos.CorefChain.Builder
clone() CoreNLPProtos.CorefChain.CorefMention.Builder
clone() CoreNLPProtos.DependencyGraph.Builder
clone() CoreNLPProtos.DependencyGraph.Edge.Builder
clone() CoreNLPProtos.DependencyGraph.Node.Builder
clone() CoreNLPProtos.Document.Builder
clone() CoreNLPProtos.Entity.Builder
clone() CoreNLPProtos.IndexedWord.Builder
clone() CoreNLPProtos.MapIntString.Builder
clone() CoreNLPProtos.MapStringString.Builder
clone() CoreNLPProtos.Mention.Builder
clone() CoreNLPProtos.NERMention.Builder
clone() CoreNLPProtos.OpenIETriple.Builder
clone() CoreNLPProtos.Operator.Builder
clone() CoreNLPProtos.ParseTree.Builder
clone() CoreNLPProtos.Polarity.Builder
clone() CoreNLPProtos.Quote.Builder
clone() CoreNLPProtos.Relation.Builder
clone() CoreNLPProtos.Sentence.Builder
clone() CoreNLPProtos.SentenceFragment.Builder
clone() CoreNLPProtos.Span.Builder
clone() CoreNLPProtos.SpeakerInfo.Builder
clone() CoreNLPProtos.Timex.Builder
clone() CoreNLPProtos.Token.Builder
clone() IntCounter
clone() CollectionValuedMap
clone() FixedPrioritiesPriorityQueue
Returns a clone of this priority queue.
clone() IdentityHashSet
Returns a shallow copy of this IdentityHashSet instance:
the elements themselves are not cloned.
close() CoNLL2011DocumentReader
close() CoNLLDocumentReader
close() BZip2PipedOutputStream
close() ReaderInputStream
Closes the Stringreader.
close() TeeStream
close() PatternsForEachToken
close() PatternsForEachTokenDB
close() PatternsForEachTokenInMemory
close() FilteringTreeReader
Close the Reader behind this TreeReader.
close() FrenchXMLTreeReader
close() PennTreeReader
Closes the underlying Reader used to create this
class.
close() TreeReader
Close the Reader behind this TreeReader.
close() JavaUtilLoggingAdaptor.RedwoodHandler
This is a no-op since Redwood doesn't have this.
close() RedwoodPrintStream
close() SystemUtils.ProcessOutputStream
closeConnection() GoogleNGramsSQLBacked
CLOSED_CLASS_THRESHOLD TaggerConfig
closedRuleIterator() UnaryGrammar
closedRuleIteratorByChild(int) UnaryGrammar
closedRuleIteratorByParent(int) UnaryGrammar
closedRulesByChild(int) UnaryGrammar
closedRulesByParent(int) UnaryGrammar
closeEVALBfiles() EvalbFormatWriter
closeFiles() EvalbFormatWriter
closeIgnoringExceptions(Closeable) IOUtils
Provides an implementation of closing a file for use in a finally block so
you can correctly close a file without even more exception handling stuff.
closeNodeScope(Node, int) JJTTsurgeonParserState
closeNodeScope(Node, boolean) JJTTsurgeonParserState
closest(SUTime.Time, SUTime.Time...) SUTime.Time
clubNeighboringLabeledWords ConstantsAndVariables
Cluster(int) Clusterer.Cluster
Cluster(Clusterer.Cluster) Clusterer.Cluster
cluster(Properties) StatisticalCorefProperties
Clusterer edu.stanford.nlp.scoref
Clusterer() Clusterer
Clusterer(String) Clusterer
Clusterer.Cluster edu.stanford.nlp.scoref
ClustererDataLoader edu.stanford.nlp.scoref
ClustererDataLoader() ClustererDataLoader
ClustererDataLoader.ClustererDoc edu.stanford.nlp.scoref
ClustererDoc(int, Counter<Pair<Integer, Integer>>, Counter<Pair<Integer, Integer>>, Counter<Integer>, Map<Pair<Integer, Integer>, Boolean>, List<List<Integer>>, Map<Integer, String>) ClustererDataLoader.ClustererDoc
clusterID CorefCluster
clusterID CorefCluster
CLUSTERING_MODEL_NAME StatisticalCorefTrainer
ClusteringCorefSystem edu.stanford.nlp.scoref
ClusteringCorefSystem(Properties, String, String, String, String, String) ClusteringCorefSystem
clusteringModelPath(Properties) StatisticalCorefProperties
clusteringModelsPath StatisticalCorefTrainer
CmdEvaluator edu.stanford.nlp.optimization
Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
CmdEvaluator() CmdEvaluator
CMMClassifier IN extends CoreLabel > - Class in edu.stanford.nlp.ie.ner
Does Sequence Classification using a Conditional Markov Model.
CMMClassifier() CMMClassifier
CMMClassifier(Properties) CMMClassifier
CMMClassifier(SeqClassifierFlags) CMMClassifier
CmpToken() TokenSequenceParser
CNFTransformers edu.stanford.nlp.parser.lexparser
coarseDistance Options
Use coarser distance (4 bins) in dependency calculations
coarseDistanceBin(int) AbstractDependencyGrammar
coarseDistanceBins AbstractDependencyGrammar
COARSETAG_FIELD_NUMBER CoreNLPProtos.Token
CoarseTagAnnotation() CoreAnnotations.CoarseTagAnnotation
collapseApproximate RedwoodConfiguration.Handlers
Collapse records in a heuristic way to make reading easier.
COLLAPSEDCCPROCESSEDDEPENDENCIES_FIELD_NUMBER CoreNLPProtos.Sentence
CollapsedCCProcessedDependenciesAnnotation() SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
COLLAPSEDDEPENDENCIES_FIELD_NUMBER CoreNLPProtos.Sentence
CollapsedDependenciesAnnotation() SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
collapsedDependency Mention
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) EnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse
language-dependent transitive dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) ChineseGrammaticalStructure
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) UniversalEnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies or
by adding additional information from the dependents to the relation
of the governor.
collapseDependenciesTree(List<TypedDependency>) EnglishGrammaticalStructure
collapseDependenciesTree(List<TypedDependency>) GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse
language-dependent transitive dependencies but keeping a tree structure.
collapseDependenciesTree(List<TypedDependency>) UniversalEnglishGrammaticalStructure
collapseExact RedwoodConfiguration.Handlers
Collapse records which are duplicates into a single message, followed by a message detailing how many times
it was repeated.
collapseNERLabels(List<CoreLabel>) QuantifiableEntityNormalizer
Currently this populates a List<CoreLabel> with words from the passed List,
but NER entities are collapsed and
CoreLabel constituents of entities have
NER information in their "quantity" fields.
collapseRef GrammaticalStructure.Extras
collapse the "ref" edges
CollapseUnaryTransformer edu.stanford.nlp.sentiment
This transformer collapses chains of unary nodes so that the top
node is the only node left.
CollapseUnaryTransformer() CollapseUnaryTransformer
collapseWhCategories EnglishTreebankParserParams.EnglishTrain
Collapse WHPP with PP, etc., in training and perhaps in evaluation.
collectionAcceptFilter(E[]) Filters
The collectionAcceptFilter accepts a certain collection.
collectionAcceptFilter(Collection<E>) Filters
The collectionAcceptFilter accepts a certain collection.
CollectionFactory T > - Class in edu.stanford.nlp.util
Factory for vending Collections.
CollectionFactory() CollectionFactory
CollectionFactory.ArrayListFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.HashSetFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.LinkedListFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.SizedArrayListFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.TreeSetFactory T > - Class in edu.stanford.nlp.util
collectionRejectFilter(E[]) Filters
The collectionRejectFilter rejects a certain collection.
collectionRejectFilter(Collection<E>) Filters
The collectionRejectFilter rejects a certain collection.
CollectionUtils edu.stanford.nlp.util
Collection of useful static methods for working with Collections.
CollectionValuedMap K ,V > - Class in edu.stanford.nlp.util
CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) CollectionValuedMap
Creates a new empty CollectionValuedMap.
CollectionValuedMap(CollectionValuedMap<K, V>) CollectionValuedMap
Creates a new CollectionValuedMap with all of the mappings from cvm.
CollectionValuedMap() CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
CollectionValuedMap(CollectionFactory<V>) CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map.
collectOperations(List<TsurgeonPattern>) Tsurgeon
Collects a list of operation patterns into a sequence of operations to be applied.
collectSamples(SequenceModel, int, int) SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
collectSamples(SequenceModel, int, int, int[]) SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
collinize(Tree) TreebankAnnotator
collinizer() AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizer() ArabicTreebankParserParams
The collinizer eliminates punctuation
collinizer() ChineseTreebankParserParams
Returns a ChineseCollinizer
collinizer() EnglishTreebankParserParams
The tree transformer used to produce trees for evaluation.
collinizer() FrenchTreebankParserParams
collinizer() HebrewTreebankParserParams
collinizer() NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizer() SpanishTreebankParserParams
collinizer() TreebankLangParserParams
The tree transformer applied to trees prior to evaluation.
collinizerEvalb() AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizerEvalb() ArabicTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() ChineseTreebankParserParams
Returns a ChineseCollinizer that doesn't delete punctuation
collinizerEvalb() EnglishTreebankParserParams
collinizerEvalb() FrenchTreebankParserParams
collinizerEvalb() HebrewTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizerEvalb() SpanishTreebankParserParams
collinizerEvalb() TreebankLangParserParams
the tree transformer used to produce trees for evaluation.
CollinsHeadFinder edu.stanford.nlp.trees
Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() CollinsHeadFinder
CollinsHeadFinder(TreebankLanguagePack) CollinsHeadFinder
This constructor provides the traditional behavior, where there is
no special avoidance of punctuation categories.
CollinsHeadFinder(TreebankLanguagePack, String...) CollinsHeadFinder
collinsPunc TrainOptions
Promote/delete punctuation like Collins.
CollinsPuncTransformer edu.stanford.nlp.parser.lexparser
This class manipulates punctuation in trees (used with training trees)
in the same manner that Collins manipulated punctuation in trees when
building his parsing model.
CollinsPuncTransformer(TreebankLanguagePack) CollinsPuncTransformer
CollocationFinder edu.stanford.nlp.trees
Finds WordNet collocations in parse trees.
CollocationFinder(Tree, WordNetConnection) CollocationFinder
Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder) CollocationFinder
Construct a new CollocationFinder over the Tree t.
Color edu.stanford.nlp.util.logging
ANSI supported colors
These values are mirrored in Redwood.Util
colorChannel(String, Color) OutputHandler
Color the tag for a particular channel this color
COLUMN_DATA_CLASSIFIER Annotator
ColumnDataClassifier edu.stanford.nlp.classify
ColumnDataClassifier provides a command-line interface for doing
context-free (independent) classification of a series of data items,
where each data item is represented by a line of
a file, as a list of String variables, in tab-separated columns.
ColumnDataClassifier(String) ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifier(Properties) ColumnDataClassifier
Construct a ColumnDataClassifier.
columnDataClassifier(Properties, AnnotatorImplementations) AnnotatorFactories
ColumnDataClassifierAnnotation() CoreAnnotations.ColumnDataClassifierAnnotation
ColumnDataClassifierAnnotator edu.stanford.nlp.pipeline
Created by joberant on 9/8/14.
ColumnDataClassifierAnnotator(String) ColumnDataClassifierAnnotator
ColumnDataClassifierAnnotator(Properties) ColumnDataClassifierAnnotator
ColumnDataClassifierAnnotator(String, boolean) ColumnDataClassifierAnnotator
ColumnDocumentReaderAndWriter edu.stanford.nlp.sequences
DocumentReader for column format.
ColumnDocumentReaderAndWriter() ColumnDocumentReaderAndWriter
columnNamesArray() InputPanel.HistoryEntry
columnStringToObject(Class, String, String, String[]) StringUtils
Converts a tab delimited string into an object with given fields
Requires the object has setXxx functions for the specified fields
columnStringToObject(Class<?>, String, Pattern, String[]) StringUtils
Converts a tab delimited string into an object with given fields
Requires the object has public access for the specified fields
CombinationFeatureFactory edu.stanford.nlp.parser.shiftreduce
Combines multiple feature factories into one feature factory
CombinationFeatureFactory(FeatureFactory[]) CombinationFeatureFactory
combinationMode SeqClassifierFlags
combine(CRFClassifier<IN>, double) CRFClassifier
Combines weighted crf with this crf.
combine(Edge, Hook) BiLexPCFGParser
combine(Partial, Partial) JodaTimeUtils
combine(double, double) EditDistance
combine2DArr(double[][], double[][], double) CRFLogConditionalObjectiveFunction
combine2DArr(double[][], double[][]) CRFLogConditionalObjectiveFunction
combine2DArr(double[][], Map<Integer, double[]>) CRFLogConditionalObjectiveFunction
combine2DArr(double[][], Map<Integer, double[]>, double) CRFLogConditionalObjectiveFunction
COMBINE_OBJECTROLE_PROP CorefProperties
combineAndScaleLopWeights(int, double[][], double[]) CRFLogConditionalObjectiveFunctionForLOP
combineAndScaleLopWeights2D(int, double[][][], double[]) CRFLogConditionalObjectiveFunctionForLOP
combineClassification RNNOptions
If this option is true, then the binary and unary classification
matrices are combined.
CombinedEvaluator(double) EvalUtils.CombinedEvaluator
combineMoreGeneralFields(Partial, Partial) JodaTimeUtils
combineMoreGeneralFields(Partial, Partial, DateTimeFieldType) JodaTimeUtils
combineObjectRoles(Properties, String) CorefProperties
combineSegmentedSentence(List<CoreLabel>, SeqClassifierFlags) ChineseStringUtils
combo SeqClassifierFlags
comboProps SeqClassifierFlags
COMMA RobustTokenizer
commonAncestor(IndexedWord, IndexedWord) SemanticGraph
Return the maximum distance to a least common ancestor.
CommonWordsAnnotation() CoreAnnotations.CommonWordsAnnotation
commonWordsPatternFiles ConstantsAndVariables
Words to be ignored when learning phrases if
removePhrasesWithStopWords or
removeStopWordsFromSelectedPhrases is true.
communicateWithNERServer(String, int, String) NERServer.NERClient
communicateWithNERServer(String, int, String, BufferedReader, BufferedWriter, boolean) NERServer.NERClient
compact() ArrayCoreMap
Reduces memory consumption to the minimum for representing the values
currently stored stored in this object.
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Index<String>) GrammarCompactor
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Map<String, List<List<String>>>, Map<String, List<List<String>>>, Index<String>) GrammarCompactor
Compacts the grammar specified by the Pair.
compactGrammar TrainOptions
How to compact grammars as FSMs.
compactGrammar() TrainOptions
ComparableComparator() ValueFunctions.ComparableComparator
Comparators edu.stanford.nlp.util
compare(CorefChain.CorefMention, CorefChain.CorefMention) CorefChain.CorefMentionComparator
compare(Mention, Mention) CorefChain.MentionComparator
compare(CorefChain.CorefMention, CorefChain.CorefMention) CorefChain.CorefMentionComparator
compare(Mention, Mention) CorefChain.MentionComparator
compare(String, String) MultiWordStringMatcher.LongestStringComparator
compare(T, T) ValueFunctions.ComparableComparator
compare(T, T) ValueFunctions.CompareFunction
compare(Number, Number) ValueFunctions.NumericComparator
compare(Class, Class) Token.ClassComparator
compare(Tree, Tree) TreeLengthComparator
Compare the two objects.
compare(String, String) CoNLLUUtils.FeatureNameComparator
compare(V1, V2) Iterables.IncrementComparator
Returns -1 if the value of a should come before the value of b,
+1 if the value of b should come before the value of a, or 0 if
the two should be merged together.
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.ByFirstPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.ByFirstReversePairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.BySecondPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.BySecondReversePairComparator
compare(Scored, Scored) ScoredComparator
compareArrays(T[], T[]) ArrayUtils
Provides a consistent ordering over arrays.
compareBooleanArrays(boolean[], boolean[]) ArrayUtils
CompareFunction(String, Comparator<T>, ValueFunctions.CompareType, Class) ValueFunctions.CompareFunction
compareIntervalOrder(Interval<E>) Interval
Returns order of another interval compared to this one
compareLists(List<T>, List<T>) CollectionUtils
Provides a consistent ordering over lists.
compareTo(RelationTriple) RelationTriple
compareTo(IndexedWord) IndexedWord
NOTE: This compareTo is based on and made to be compatible with the one
from IndexedFeatureLabel.
compareTo(ValueLabel) ValueLabel
Orders by value()'s lexicographic ordering.
compareTo(WordLemmaTag) WordLemmaTag
Orders first by word, then by lemma, then by tag.
compareTo(WordTag) WordTag
Orders first by word, then by tag.
compareTo(BinaryRule) BinaryRule
compareTo(HTKLatticeReader.LatticeWord) HTKLatticeReader.LatticeWord
compareTo(IntTaggedWord) IntTaggedWord
compareTo(UnaryRule) UnaryRule
compareTo(Object) CandidatePhrase
compareTo(Object) ConstantsAndVariables.ScorePhraseMeasures
compareTo(SurfacePattern) SurfacePattern
compareTo(SemanticGraphEdge) SemanticGraphEdge
Compares SemanticGraphEdges.
compareTo(SUTime.Duration) SUTime.Duration
compareTo(SUTime.Time) SUTime.InexactTime
compareTo(SUTime.Time) SUTime.Time
compareTo(GrammaticalRelation) GrammaticalRelation
compareTo(TypedDependency) TypedDependency
compareTo(IntTuple) IntTuple
compareTo(MutableDouble) MutableDouble
Compares two MutableDouble objects numerically.
compareTo(MutableInteger) MutableInteger
Compares two MutableInteger objects numerically.
compareTo(MutableLong) MutableLong
Compares two MutableLong objects numerically.
compareTo(Pair<T1, T2>) Pair
Compares this Pair to another object.
compareTo(Quadruple<T1, T2, T3, T4>) Quadruple
compareTo(Triple<T1, T2, T3>) Triple
compatibleWith(Language) Language
Returns whether these two languages can be considered compatible with each other.
compile(Env, String) SequencePattern
compile(SequencePattern.PatternExpr) SequencePattern
compile(String) TokenSequencePattern
Compiles a regular expressions over tokens into a TokenSequencePattern
using the default environment.
compile(Env, String) TokenSequencePattern
Compiles a regular expression over tokens into a TokenSequencePattern
using the specified environment.
compile(String...) TokenSequencePattern
Compiles a sequence of regular expressions into a TokenSequencePattern
using the default environment.
compile(Env, String...) TokenSequencePattern
Compiles a sequence of regular expressions into a TokenSequencePattern
using the specified environment.
compile(SequencePattern.PatternExpr) TokenSequencePattern
Compiles a PatternExpr into a TokenSequencePattern.
compile(String, Env) SemgrexPattern
Creates a pattern from the given string.
compile(String) SemgrexPattern
compile(String) TregexPattern
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
compile(String) TregexPatternCompiler
Create a TregexPattern from this tregex string using the headFinder and
basicCat function this TregexPatternCompiler was created with.
compileAnnotations(HeadFinder) TregexPoweredTreebankParserParams
COMPLEMENT EnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENT ChineseGrammaticalRelations
The "clausal subject" grammatical relation.
COMPLEMENT UniversalEnglishGrammaticalRelations
The "complement" grammatical relation.
ComplexNodePattern M ,K > - Class in edu.stanford.nlp.ling.tokensregex
Pattern for matching a complex data structure
ComplexNodePattern(BiFunction<M, K, Object>, List<Pair<K, NodePattern>>) ComplexNodePattern
ComplexNodePattern(BiFunction<M, K, Object>, Pair<K, NodePattern>...) ComplexNodePattern
ComplexNodePattern(BiFunction<M, K, Object>, K, NodePattern) ComplexNodePattern
ComplexNodePattern.AbstractStringAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.AttributesEqualMatchChecker K > - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.IntegerAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NilAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NotNilAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NumericAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.SequenceRegexPattern T > - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringAnnotationRegexPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringInSetAnnotationPattern edu.stanford.nlp.ling.tokensregex
compose(Map<X, Y>, Map<Y, Z>) Maps
Compose two maps map1:x->y and map2:y->z to get a map x->z
COMPOSITE_EXTRACT_RULE_CREATOR SequenceMatchRules
COMPOSITE_KEYS_FUNCTION ValueFunctions
COMPOSITE_RULE_TYPE SequenceMatchRules
COMPOSITE_VALUE_FUNCTION ValueFunctions
CompositeExtractRuleCreator() SequenceMatchRules.CompositeExtractRuleCreator
CompositeFieldValue(Env) TokenSequenceParser
CompositePartialTime(SUTime.PartialTime, SUTime.Time, SUTime.Time, SUTime.Time) SUTime.CompositePartialTime
CompositePartialTime(SUTime.PartialTime, Partial, SUTime.Time, SUTime.Time, SUTime.Time) SUTime.CompositePartialTime
CompositeTreebank edu.stanford.nlp.trees
CompositeTreebank(Treebank, Treebank) CompositeTreebank
CompositeTreeTransformer edu.stanford.nlp.trees
A TreeTransformer that applies component TreeTransformers in order.
CompositeTreeTransformer() CompositeTreeTransformer
CompositeTreeTransformer(List<TreeTransformer>) CompositeTreeTransformer
CompositeValue(String...) Expressions.CompositeValue
CompositeValue(Map<String, Expression>, boolean, String...) Expressions.CompositeValue
COMPOUND ChineseGrammaticalRelations
The "compound" grammatical relation (abstract).
COMPOUND_MODIFIER UniversalEnglishGrammaticalRelations
The "compound modifier" grammatical relation.
compoundUnaries ShiftReduceOptions
CompoundUnaryTransition edu.stanford.nlp.parser.shiftreduce
Transition that makes a compound unary parse node in a partially
finished tree.
CompoundUnaryTransition(List<String>, boolean) CompoundUnaryTransition
compress(Counter<K>) Compressor
CompressedFeatureVector edu.stanford.nlp.scoref
CompressedFeatureVector(List<Integer>, List<Double>) CompressedFeatureVector
Compressor K > - Class in edu.stanford.nlp.scoref
Compressor() Compressor
compressorFile StatisticalCorefTrainer
compute(double[], double[]) LogPrior
Adjust the given grad array by adding the prior's gradient component
and return the value of the logPrior
compute(Boolean...) ValueFunctions.BooleanFunction
compute(Number...) ValueFunctions.NumericFunction
compute(String...) ValueFunctions.StringFunction
compute() Lazy
computeAllPatterns ConstantsAndVariables
If all patterns should be computed.
computeAverage(Function<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>, Double>) CrossValidator
This computes the average over all folds of the function we're trying to optimize.
computeCliquePotential(int, int, int[], double[], int) CliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) LinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) NoisyLabelLinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) NonLinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) NonLinearSecondOrderCliquePotentialFunction
computeCostFunction(int, double, double) Classifier
Determine the total cost on the dataset associated with this
classifier using the current learned parameters.
computeFeatSimilarity MachineReadingProperties
computeInputPrior(Map<String, List<List<String>>>) GrammarCompactor
computeLambda(TransducerGraph) QuasiDeterminizer
Takes time linear in number of arcs.
computeRawFreqIfNull(int, boolean) Data
computeRawFreqIfNull(Map<String, DataInstance>, int) Data
computeStochastic(double[], double[], double) LogPrior
CONCAT CoreMapAttributeAggregator
concat(IntTuple, IntTuple) IntTuple
CONCAT_COREMAP CoreMapAttributeAggregator
CONCAT_FUNCTION ValueFunctions
CONCAT_TEXT CoreMapAttributeAggregator
CONCAT_TOKENS CoreMapAttributeAggregator
ConcatAggregator(String) CoreMapAttributeAggregator.ConcatAggregator
ConcatCoreMapListAggregator() CoreMapAttributeAggregator.ConcatCoreMapListAggregator
ConcatCoreMapListAggregator(boolean) CoreMapAttributeAggregator.ConcatCoreMapListAggregator
concatenate(SimpleMatrix...) NeuralUtils
Concatenates several column vectors into one large column vector
concatenate(T[], T[]) ArrayUtils
Concatenates two arrays and returns the result
concatenateTypes(String, String) ExtractionObject
Concatenates two types
concatenateWithBias(SimpleMatrix...) NeuralUtils
Concatenates several column vectors into one large column
vector, adds a 1.0 at the end as a bias term
ConcatenationIterator T > - Class in edu.stanford.nlp.util
Iterator that represents the concatenation of two other iterators.
ConcatenationIterator(Iterator<T>, Iterator<T>) ConcatenationIterator
concatIterators(Iterator<E>...) CollectionUtils
Concatenate a number of iterators together, to form one big iterator.
ConcatListAggregator() CoreMapAttributeAggregator.ConcatListAggregator
ConcatTextAggregator(String) CoreMapAttributeAggregator.ConcatTextAggregator
CONCURRENT_MAP_FACTORY MapFactory
ConcurrentHashIndex E > - Class in edu.stanford.nlp.util.concurrent
A fast threadsafe index that supports constant-time lookup in both directions.
ConcurrentHashIndex() ConcurrentHashIndex
Constructor.
ConcurrentHashIndex(int) ConcurrentHashIndex
Constructor.
CONDENSE CRFLogConditionalObjectiveFunction
condense() Weight
CondExpression(Env) TokenSequenceParser
CondGroup(Env) TokenSequenceParser
ConditionalExpression(Expression) Expressions.ConditionalExpression
ConditionalExpression(String, Expression, Expression) Expressions.ConditionalExpression
conditionalize(List<K>) GeneralizedCounter
returns a GeneralizedCounter conditioned on the objects in the
List argument.
conditionalizeOnce(K) GeneralizedCounter
Returns a GeneralizedCounter conditioned on the given top level object.
conditionalLogProb(int[], int) FloatFactorTable
conditionalLogProbGivenFirst(int, int[]) FactorTable
Computes the probability of the sequence OF being at the end of the table
given that the first tag in table is GIVEN.
conditionalLogProbGivenNext(int[], int) FactorTable
Computes the probability of the tag OF being at the beginning of the table
given that the tag sequence GIVEN is at the end of the table.
conditionalLogProbGivenPrevious(int[], int) FactorTable
Computes the probability of the tag OF being at the end of the table given
that the previous tag sequence in table is GIVEN.
conditionalLogProbsGivenPrevious(int[]) FactorTable
Computes the probabilities of the tag at the end of the table given that
the previous tag sequence in table is GIVEN.
conditionalSuffix(String) SpanishUnknownWordSignatures
condLogProbGivenNext(int, int, int[]) CRFCliqueTree
condLogProbGivenNext(int, E, E[]) CRFCliqueTree
condLogProbGivenPrevious(int, int, int[]) CRFCliqueTree
Gives the probability of a tag at a single position conditioned on a
sequence of previous labels.
condLogProbGivenPrevious(int, E, E[]) CRFCliqueTree
condLogProbsGivenNext(int, int[]) CRFCliqueTree
condLogProbsGivenNext(int, E[]) CRFCliqueTree
condLogProbsGivenPrevious(int, int[]) CRFCliqueTree
condLogProbsGivenPrevious(int, E[]) CRFCliqueTree
condProbGivenNext(int, int, int[]) CRFCliqueTree
condProbGivenNext(int, E, E[]) CRFCliqueTree
condProbGivenPrevious(int, int, int[]) CRFCliqueTree
condProbGivenPrevious(int, E, E[]) CRFCliqueTree
confidence RelationTriple
An optional score (confidence) for this triple
CONFIDENCE_FIELD_NUMBER CoreNLPProtos.OpenIETriple
confidenceGloss() RelationTriple
A textual representation of the confidence.
confidenceWeightedAccuracy() MultiClassAccuracyStats
Config edu.stanford.nlp.parser.nndep
Defines configuration settings for training and testing the
neural-network dependency parser.
Config(Properties) Config
configLogger(String) SUTimeMain
Configuration edu.stanford.nlp.parser.nndep
Describe the current configuration of a parser (i.e., parser state).
Configuration(Configuration) Configuration
Configuration(CoreMap) Configuration
confusionMatrix SeqClassifierFlags
ConfusionMatrix U > - Class in edu.stanford.nlp.util
This implements a confusion table over arbitrary types of class labels.
ConfusionMatrix() ConfusionMatrix
ConfusionMatrix(Locale) ConfusionMatrix
ConfusionMatrix.Contingency edu.stanford.nlp.util
Contingency table, listing precision ,recall, specificity, and f1 given
the number of true and false positives, true and false negatives.
ConjFilter(List<Predicate<T>>) Filters.ConjFilter
ConjFilter(Predicate<T>...) Filters.ConjFilter
ConjNodePattern(List<NodePattern<T>>) NodePattern.ConjNodePattern
conjoinShapeNGrams SeqClassifierFlags
CONJUNCT EnglishGrammaticalRelations
The "conjunct" grammatical relation.
CONJUNCT ChineseGrammaticalRelations
The "conjunct" (conj) grammatical relation.
CONJUNCT UniversalEnglishGrammaticalRelations
The "conjunct" grammatical relation.
conll(Properties) StatisticalCorefProperties
CONLL2011_PROP Constants
CoNLL2011DocumentReader edu.stanford.nlp.dcoref
Read _conll file format from CoNLL2011.
CoNLL2011DocumentReader(String) CoNLL2011DocumentReader
CoNLL2011DocumentReader(String, CoNLL2011DocumentReader.Options) CoNLL2011DocumentReader
CoNLL2011DocumentReader.CorefMentionAnnotation edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.CorpusStats edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.Document edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.NamedEntityAnnotation edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.Options edu.stanford.nlp.dcoref
Flags
CONLL_AUTO_PROP CorefProperties
CONLL_OUTPUT_PROP Constants
CONLL_SCORER Constants
CoNLLDepAnnotation() CoreAnnotations.CoNLLDepAnnotation
CoNLLDepParentIndexAnnotation() CoreAnnotations.CoNLLDepParentIndexAnnotation
CoNLLDepTypeAnnotation() CoreAnnotations.CoNLLDepTypeAnnotation
conllDoc Document
for conll shared task 2011
conllDoc Document
for conll shared task 2011
conllDoc InputDoc
optional for CoNLL document
CoNLLDocument() CoNLLDocumentReader.CoNLLDocument
CoNLLDocumentReader edu.stanford.nlp.hcoref.docreader
Read _conll file format from CoNLL2011.
CoNLLDocumentReader(String) CoNLLDocumentReader
CoNLLDocumentReader(String, CoNLLDocumentReader.Options) CoNLLDocumentReader
CoNLLDocumentReader.CoNLLDocument edu.stanford.nlp.hcoref.docreader
CoNLLDocumentReader.CorefMentionAnnotation edu.stanford.nlp.hcoref.docreader
CoNLLDocumentReader.CorpusStats edu.stanford.nlp.hcoref.docreader
CoNLLDocumentReader.NamedEntityAnnotation edu.stanford.nlp.hcoref.docreader
CoNLLDocumentReader.Options edu.stanford.nlp.hcoref.docreader
Flags
CoNLLDocumentReaderAndWriter edu.stanford.nlp.sequences
DocumentReader for the original CoNLL 03 format.
CoNLLDocumentReaderAndWriter() CoNLLDocumentReaderAndWriter
conllMentionEvalScript Constants
Default path for conll scorer script
conllMentionEvalScript SieveCoreferenceSystem
Path for the official CoNLL scorer
CoNLLMentionExtractor edu.stanford.nlp.dcoref
Extracts coref mentions from a CoNLL2011 data files
CoNLLMentionExtractor(Dictionaries, Properties, Semantics) CoNLLMentionExtractor
CoNLLMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) CoNLLMentionExtractor
conllOutputPath(Properties) StatisticalCorefProperties
CoNLLOutputter edu.stanford.nlp.pipeline
Write a subset of our CoreNLP output in CoNLL format.
CoNLLOutputter() CoNLLOutputter
CoNLLPredicateAnnotation() CoreAnnotations.CoNLLPredicateAnnotation
conllPrint(Annotation, OutputStream) CoNLLOutputter
conllPrint(Annotation, OutputStream, StanfordCoreNLP) CoNLLOutputter
conllPrint(Annotation, OutputStream, AnnotationOutputter.Options) CoNLLOutputter
conllPrint(Annotation, Writer) StanfordCoreNLP
Displays the output of many annotators in CoNLL format.
CoNLLSRLAnnotation() CoreAnnotations.CoNLLSRLAnnotation
CoNLLUDocumentReader edu.stanford.nlp.trees.ud
Reader for ConLL-U formatted dependency treebanks.
CoNLLUDocumentReader() CoNLLUDocumentReader
CoNLLUDocumentWriter edu.stanford.nlp.trees.ud
CoNLLUDocumentWriter() CoNLLUDocumentWriter
CoNLLUFeats() CoreAnnotations.CoNLLUFeats
CONLLUFEATURES_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUMisc() CoreAnnotations.CoNLLUMisc
CONLLUMISC_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUOutputter edu.stanford.nlp.pipeline
Write a subset of our CoreNLP output in CoNLL-U format.
CoNLLUOutputter() CoNLLUOutputter
conllUPrint(Annotation, OutputStream) CoNLLUOutputter
conllUPrint(Annotation, OutputStream, StanfordCoreNLP) CoNLLUOutputter
conllUPrint(Annotation, OutputStream, AnnotationOutputter.Options) CoNLLUOutputter
CONLLUSECONDARYDEPS_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUSecondaryDepsAnnotation() CoreAnnotations.CoNLLUSecondaryDepsAnnotation
CONLLUTOKENSPAN_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUTokenSpanAnnotation() CoreAnnotations.CoNLLUTokenSpanAnnotation
CoNLLUUtils edu.stanford.nlp.trees.ud
Utility functions for reading and writing CoNLL-U files.
CoNLLUUtils() CoNLLUUtils
CoNLLUUtils.FeatureNameComparator edu.stanford.nlp.trees.ud
CoNLLX_FieldCount GrammaticalStructure
CoNLLX_GovField GrammaticalStructure
CoNLLX_POSField GrammaticalStructure
CoNLLX_RelnField GrammaticalStructure
CoNLLX_WordField GrammaticalStructure
ConnectedComponents V ,E > - Class in edu.stanford.nlp.graph
Finds connected components in the graph, currently uses inefficient list for
variable 'verticesLeft'.
ConnectedComponents() ConnectedComponents
consistencyCheck MachineReadingProperties
consistencyChecker MachineReading
console(String, Consumer<String>) IOUtils
Start a simple console.
console(Consumer<String>) IOUtils
constant(double) SimpleLinearClassifier
Constants edu.stanford.nlp.dcoref
Constants() Constants
ConstantsAndVariables edu.stanford.nlp.patterns
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) ConstantsAndVariables
ConstantsAndVariables(Properties, Map<String, Set<CandidatePhrase>>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) ConstantsAndVariables
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>) ConstantsAndVariables
ConstantsAndVariables(Properties, String, Class<? extends TypesafeMap.Key<String>>) ConstantsAndVariables
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>) ConstantsAndVariables
ConstantsAndVariables.DataSentsIterator edu.stanford.nlp.patterns
ConstantsAndVariables.PatternForEachTokenWay edu.stanford.nlp.patterns
ConstantsAndVariables.PatternIndexWay edu.stanford.nlp.patterns
ConstantsAndVariables.ScorePhraseMeasures edu.stanford.nlp.patterns
Constituent edu.stanford.nlp.trees
A Constituent object defines a generic edge in a graph.
Constituent() Constituent
ConstituentFactory edu.stanford.nlp.trees
A ConstituentFactory is a factory for creating objects
of class Constituent, or some descendent class.
constituentFactory() LabeledConstituent
Return a factory for this kind of constituent.
constituentFactory() LabeledScoredConstituent
Return a factory for this kind of constituent.
constituentFactory() SimpleConstituent
Return a factory for this kind of constituent.
constituentFactory() Span
Return a factory for this kind of constituent.
constituents() Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, int) Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean) Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean, Predicate<Tree>) Tree
constituentTreePrinter AnnotationOutputter.Options
How to print a constituent tree
ConstraintAnnotation() ParserAnnotations.ConstraintAnnotation
constraints ExhaustivePCFGParser
When you want to force the parser to parse a particular
subsequence into a particular state.
constructEntityMention(String, CoreMap, Span, Span, String, String, String) EntityMentionFactory
Always use this method to construct EntityMentions
Other factories that inherit from this (e.g., NFLEntityMentionFactory) may override this
constructRelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, Counter<String>) RelationMentionFactory
Always use this method to construct RelationMentions
Other factories that inherit from this (e.g., NFLRelationFactory) may override this
constructSentenceRelationMentions() AceDocument
constVars GetPatternsFromDataMultiClass
contains(String) RobustTokenizer.AbbreviationMap
contains(EventMention) EventMention
contains(Span) Span
Returns true if this span contains otherSpan.
contains(int) Span
Returns true if i is inside this span.
contains(ISODateInstance) ISODateInstance
Returns true iff this date
contains the date represented by other.
contains(Object) PhraseTable.PhraseStringCollection
contains(int[], int) ArrayMath
contains(Object) ObjectBank
Can be slow.
contains(List<IN>) ObjectBankWrapper
contains(SUTime.Range) SUTime.Range
contains(SUTime.Time) SUTime.Time
contains(Constituent) Constituent
Detects whether this constituent contains a constituent, that is
whether they are nested.
contains(T[], T) ArrayUtils
Returns true iff object o equals (not ==) some element of array a.
contains(Object) BinaryHeapPriorityQueue
Returns whether the queue contains the given key.
contains(Object) ConcurrentHashIndex
contains(Object) DeltaIndex
contains(Object) HashIndex
Checks whether an Object already has an index in the Index
contains(Object) IdentityHashSet
Returns true if this set contains the specified element.
contains(Object) Index
contains(E) Interval
Checks whether the point p is contained inside this interval
contains(Interval<E>) Interval
contains(Object) IntervalTree
contains(T) IntervalTree
contains(Object) MaxSizeConcurrentHashSet
contains(K1, K2, K3) ThreeDimensionalMap
contains(K1, K2) TwoDimensionalMap
contains(K1, K2) TwoDimensionalSet
contains(String) ChineseDictionary
contains(String) CorpusDictionary
CONTAINS_FIRST_ENDPOINTS_COMPARATOR HasInterval
containsAll(Collection<?>) PhraseTable.PhraseStringCollection
containsAll(Collection<?>) ObjectBank
Can be slow.
containsAll(Collection<?>) ObjectBankWrapper
containsAll(Collection<?>) MaxSizeConcurrentHashSet
containsAll(TwoDimensionalSet<? extends K1, ? extends K2>) TwoDimensionalSet
containsAny(Collection<T>, Collection<T>) CollectionUtils
if any item in toCheck is present in collection
containsEdge(IndexedWord, IndexedWord) SemanticGraph
containsEdge(SemanticGraphEdge) SemanticGraph
containsFirstKey(K1) TwoDimensionalCounter
containsFuzzy(Set<CandidatePhrase>, CandidatePhrase, int) ConstantsAndVariables
containsIgnoreCase(Collection<String>, String) StringUtils
Convenience method: a case-insensitive variant of Collection.contains
containsInSubarray(int[], int, int, int) ArrayMath
containsInterval(T, boolean) IntervalTree
containsInterval(IntervalTree<E, T>, E, boolean) IntervalTree
containsInterval(IntervalTree<E, T>, Interval<E>, boolean) IntervalTree
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) IndexedWord
containsKey(Object) BoundedCostOrderedMap
containsKey(Object) TrieMap
containsKey(Object) PhraseTable
containsKey(E) ClassicCounter
Returns whether a Counter contains a key.
containsKey(E) Counter
Returns whether a Counter contains a key.
containsKey(E) Distribution
containsKey(List<K>) GeneralizedCounter
Like
ClassicCounter, this currently returns true if the count is
explicitly 0.0 for something
containsKey(E) IntCounter
containsKey(K1, K2) TwoDimensionalCounter
containsKey(K1, K2) TwoDimensionalCounterInterface
containsKey(K1, K2) TwoDimensionalIntCounter
containsKey(String) ChineseEnglishWordMap
Does the word exist in the dictionary?
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) ArrayCoreMap
Returns true if contains the given key.
containsKey(Object) CollectionValuedMap
containsKey(Object) DeltaCollectionValuedMap
containsKey(Object) DeltaMap
This is more expensive.
containsKey(U) MapList
containsKey(K1) TwoDimensionalCollectionValuedMap
containsKey(K1) TwoDimensionalMap
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) TypesafeMap
Returns true if contains the given key.
containsMention(Mention) SpeakerInfo
containsMention(Mention) SpeakerInfo
containsObject(Collection<T>, T) CollectionUtils
Checks whether a Collection contains a specified Object.
containsOpen(E) Interval
containsSentId(String) PatternsForEachTokenDB
containsSentId(String) PatternsForEachTokenInMemory
containsValue(Object) BoundedCostOrderedMap
containsValue(Object) TrieMap
containsValue(Object) CollectionValuedMap
Unsupported.
containsValue(Object) DeltaCollectionValuedMap
containsValue(IntervalTree<E, T>, T) IntervalTree
containsVertex(V) DirectedMultiGraph
containsVertex(V) Graph
containsVertex(IndexedWord) SemanticGraph
content Redwood.Record
context MatchedExpression
Function indicating how to extract an value from annotation built from this expression
contextIncompatible(Mention, Mention, Dictionaries) Rules
contextIncompatible(Mention, Mention, Dictionaries) Rules
contextParseTree Mention
contextParseTree Mention
ContextsAnnotation() CoreAnnotations.ContextsAnnotation
Contingency(int, int, int, int) ConfusionMatrix.Contingency
ContinuationSymbol IOBUtils
continuingInputs() DFSAState
CONTROLLED_SUBJECT ChineseGrammaticalRelations
The "xsubj" grammatical relation.
ConversionOptions() JodaTimeUtils.ConversionOptions
convert(String) DataFilePaths
ConvertByteArray edu.stanford.nlp.util
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
convertFlagsToArray(String) ParserAnnotator
convertGrammarToGraphs(Pair<UnaryGrammar, BinaryGrammar>, Set<UnaryRule>, Set<BinaryRule>) GrammarCompactor
convertGraphsToGrammar(Set<TransducerGraph>, Set<UnaryRule>, Set<BinaryRule>) GrammarCompactor
convertIntermediateGraph(List<CoreLabel>) AnnotationSerializer.IntermediateSemanticGraph
convertItemSpan(Item) LatticeScorer
convertPath(List<V>, boolean) DirectedMultiGraph
convertStringPhrases(Collection<String>) CandidatePhrase
convertTextMatrix(String) NeuralUtils
convertToBytes(List<Tree>) CacheParseHypotheses
convertToBytes(IdentityHashMap<Tree, List<Tree>>) CacheParseHypotheses
convertToCoreLabels(Tree) GenericDataSetReader
Converts the tree labels to CoreLabels.
convertToCoreLabels(Tree) Trees
Converts the tree labels to CoreLabels.
convertToString(Collection<CandidatePhrase>) CandidatePhrase
convertToTrees(byte[]) CacheParseHypotheses
convertToTrees(IdentityHashMap<Tree, byte[]>, int) CacheParseHypotheses
convertToTrees(Collection<Tree>, IdentityHashMap<Tree, byte[]>, int) CacheParseHypotheses
convertTree(List<Integer>, List<String>, Map<List<String>, Integer>, Map<Integer, Double>, PTBEscapingProcessor) ReadSentimentDataset
convertValueToBoolean(Value, boolean) Expressions
convertValueToBooleanValue(Value, boolean) Expressions
CoolingSchedule edu.stanford.nlp.sequences
CoolingSchedule() CoolingSchedule
COORDINATION EnglishGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION ChineseGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION UniversalEnglishGrammaticalRelations
The "coordination" grammatical relation.
CoordinationPattern edu.stanford.nlp.semgraph.semgrex
CoordinationPattern(boolean, List<SemgrexPattern>, boolean) CoordinationPattern
CoordinationTransformer edu.stanford.nlp.trees
Coordination transformer transforms a PennTreebank tree containing
a coordination in a flat structure in order to get the dependencies
right.
CoordinationTransformer(HeadFinder) CoordinationTransformer
CoordinationTransformer(HeadFinder, boolean) CoordinationTransformer
Constructor
COPULA EnglishGrammaticalRelations
The "copula" grammatical relation.
COPULA ChineseGrammaticalRelations
The "copula" grammatical relation.
COPULA UniversalEnglishGrammaticalRelations
The "copula" grammatical relation.
CopulaHeadFinder edu.stanford.nlp.trees
A mix-in interface for HeadFinders which support the
makesCopulaHead method, which says how the HeadFinder in question
handles "to be" verbs.
copularVerbs EnglishPatterns
copularWordRegex EnglishPatterns
copulas Dictionaries
copulas Dictionaries
copulasEn WordLists
copulasZh WordLists
copy() BasicSequenceMatchResult
copy() SequencePattern.AndPatternExpr
copy() SequencePattern.BackRefPatternExpr
copy() SequencePattern.GroupPatternExpr
copy() SequencePattern.MultiNodePatternExpr
copy() SequencePattern.NodePatternExpr
copy() SequencePattern.OrPatternExpr
copy() SequencePattern.PatternExpr
Make a deep copy of the sequence pattern expressions
copy() SequencePattern.RepeatPatternExpr
copy() SequencePattern.SequencePatternExpr
copy() SequencePattern.SpecialNodePatternExpr
copy() SequencePattern.ValuePatternExpr
copy(float[], float[]) AbstractCachingDiffFloatFunction
copy(double[], double[]) AbstractCachingDiffFunction
copy() PatternToken
copy() Annotation
Copies the map, but not a deep copy.
copy(int[]) SequenceGibbsSampler
copy(long[]) ArrayUtils
copy(int[]) ArrayUtils
copy(int[][]) ArrayUtils
copy(double[]) ArrayUtils
copy(double[][]) ArrayUtils
copy(double[][][]) ArrayUtils
copy(float[]) ArrayUtils
copy(float[][]) ArrayUtils
copy(float[][][]) ArrayUtils
COPYANNOTATION_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Node
copyCount() IndexedWord
COPYCOUNT_FIELD_NUMBER CoreNLPProtos.IndexedWord
copyLexicalizedParser(LexicalizedParser) LexicalizedParser
copyNewToken() SurfacePattern
copyTokens(List<CoreLabel>, CoreMap) NumberSequenceClassifier
Create a copy of srcTokens, detecting on the fly if character offsets need adjusting
copyUnsetAnnotations(CoreMap, CoreMap) ChunkAnnotationUtils
Copies annotation over to this coremap if not already set
CoreAnnotation V > - Interface in edu.stanford.nlp.ling
The base class for any annotation that can be marked on a
CoreMap,
parameterized by the type of the value associated with the annotation.
CoreAnnotations edu.stanford.nlp.ling
Set of common annotations for
CoreMaps.
CoreAnnotations.AbbrAnnotation edu.stanford.nlp.ling
CoreAnnotations.AbgeneAnnotation edu.stanford.nlp.ling
CoreAnnotations.AbstrAnnotation edu.stanford.nlp.ling
CoreAnnotations.AfterAnnotation edu.stanford.nlp.ling
Annotation for the whitespace characters appear after this word.
CoreAnnotations.AnswerAnnotation edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerObjectAnnotation edu.stanford.nlp.ling
CoreAnnotations.AntecedentAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.ArgDescendentAnnotation edu.stanford.nlp.ling
CoreAnnotations.ArgumentAnnotation edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.AuthorAnnotation edu.stanford.nlp.ling
Author for the document
(really should be a set of authors, but just have single string for simplicity)
CoreAnnotations.BagOfWordsAnnotation edu.stanford.nlp.ling
CoreAnnotations.BeAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.BeforeAnnotation edu.stanford.nlp.ling
Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeginIndexAnnotation edu.stanford.nlp.ling
This indexes the beginning of a span of words, e.g., a constituent in a
tree.
CoreAnnotations.BestCliquesAnnotation edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestFullAnnotation edu.stanford.nlp.ling
CoreAnnotations.CalendarAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the date and time associated with an
annotation.
CoreAnnotations.CategoryAnnotation edu.stanford.nlp.ling
CoreAnnotations.CategoryFunctionalTagAnnotation edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CharacterOffsetBeginAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the offset of the first character of an
annotation.
CoreAnnotations.CharacterOffsetEndAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the offset of the last character after the end
of an annotation.
CoreAnnotations.CharAnnotation edu.stanford.nlp.ling
CoreAnnotations.ChineseCharAnnotation edu.stanford.nlp.ling
for Chinese: character level information, segmentation
CoreAnnotations.ChineseIsSegmentedAnnotation edu.stanford.nlp.ling
Not sure exactly what this is, but it is different from
ChineseSegAnnotation and seems to indicate if the text is segmented
CoreAnnotations.ChineseOrigSegAnnotation edu.stanford.nlp.ling
CoreAnnotations.ChineseSegAnnotation edu.stanford.nlp.ling
CoreAnnotations.ChunkAnnotation edu.stanford.nlp.ling
CoreAnnotations.CoarseTagAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - coarser POS tags.
CoreAnnotations.ColumnDataClassifierAnnotation edu.stanford.nlp.ling
CoreAnnotations.CommonWordsAnnotation edu.stanford.nlp.ling
CoreAnnotations.CoNLLDepAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepParentIndexAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - the index of the word which is the parent of this word
in the dependency tree
CoreAnnotations.CoNLLDepTypeAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLPredicateAnnotation edu.stanford.nlp.ling
CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLSRLAnnotation edu.stanford.nlp.ling
CoNLL SRL/dep parsing - map which, for the current word, specifies its
specific role for each predicate
CoreAnnotations.CoNLLUFeats edu.stanford.nlp.ling
CoNLL-U dep parsing - List of morphological features
CoreAnnotations.CoNLLUMisc edu.stanford.nlp.ling
CoNLL-U dep parsing - Any other annotation
CoreAnnotations.CoNLLUSecondaryDepsAnnotation edu.stanford.nlp.ling
CoNLL-U dep parsing - List of secondary dependencies
CoreAnnotations.CoNLLUTokenSpanAnnotation edu.stanford.nlp.ling
CoNLL-U dep parsing - span of multiword tokens
CoreAnnotations.ContextsAnnotation edu.stanford.nlp.ling
CoreAnnotations.CostMagnificationAnnotation edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CovertIDAnnotation edu.stanford.nlp.ling
CoreAnnotations.D2_LBeginAnnotation edu.stanford.nlp.ling
CoreAnnotations.D2_LEndAnnotation edu.stanford.nlp.ling
CoreAnnotations.D2_LMiddleAnnotation edu.stanford.nlp.ling
CoreAnnotations.DayAnnotation edu.stanford.nlp.ling
CoreAnnotations.DependentsAnnotation edu.stanford.nlp.ling
CoreAnnotations.DictAnnotation edu.stanford.nlp.ling
CoreAnnotations.DistSimAnnotation edu.stanford.nlp.ling
CoreAnnotations.DoAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.DocDateAnnotation edu.stanford.nlp.ling
CoreAnnotations.DocIDAnnotation edu.stanford.nlp.ling
This refers to the unique identifier for a "document", where document may
vary based on your application.
CoreAnnotations.DocSourceTypeAnnotation edu.stanford.nlp.ling
Document source type
What kind of place did the document come from: newswire, discussion forum, web...
CoreAnnotations.DocTitleAnnotation edu.stanford.nlp.ling
Document title
What is the document title
CoreAnnotations.DocTypeAnnotation edu.stanford.nlp.ling
Document type
What kind of document is it: story, multi-part article, listing, email, etc
CoreAnnotations.DomainAnnotation edu.stanford.nlp.ling
Used in CRFClassifier stuff PositionAnnotation should possibly be an int -
it's present as either an int or string depending on context CharAnnotation
may be "CharacterAnnotation" - not sure
CoreAnnotations.EndIndexAnnotation edu.stanford.nlp.ling
This indexes the end of a span of words, e.g., a constituent in a
tree.
CoreAnnotations.EntityClassAnnotation edu.stanford.nlp.ling
CoreAnnotations.EntityRuleAnnotation edu.stanford.nlp.ling
CoreAnnotations.EntityTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.ExceptionAnnotation edu.stanford.nlp.ling
Stores an exception associated with processing this document
CoreAnnotations.FeaturesAnnotation edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FemaleGazAnnotation edu.stanford.nlp.ling
CoreAnnotations.FirstChildAnnotation edu.stanford.nlp.ling
used in binarized trees to specify the first child in the rule for which
this node is the parent
CoreAnnotations.ForcedSentenceEndAnnotation edu.stanford.nlp.ling
This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceUntilEndAnnotation edu.stanford.nlp.ling
This indicates that starting at this token, the sentence should not be ended until
we see a ForcedSentenceEndAnnotation.
CoreAnnotations.FreqAnnotation edu.stanford.nlp.ling
CoreAnnotations.GazAnnotation edu.stanford.nlp.ling
CoreAnnotations.GazetteerAnnotation edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GenericTokensAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
CoreAnnotations.GeniaAnnotation edu.stanford.nlp.ling
CoreAnnotations.GoldAnswerAnnotation edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GovernorAnnotation edu.stanford.nlp.ling
CoreAnnotations.GrandparentAnnotation edu.stanford.nlp.ling
specifies the base state of the parent of this node in the parse tree
CoreAnnotations.HaveAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.HeadWordStringAnnotation edu.stanford.nlp.ling
The key for storing a Head word as a string rather than a pointer (as in
TreeCoreAnnotations.HeadWordAnnotation)
CoreAnnotations.HeightAnnotation edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.IDAnnotation edu.stanford.nlp.ling
CoreAnnotations.IDFAnnotation edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.INAnnotation edu.stanford.nlp.ling
CoreAnnotations.IndexAnnotation edu.stanford.nlp.ling
This indexes a token number inside a sentence.
CoreAnnotations.InterpretationAnnotation edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.IsDateRangeAnnotation edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsURLAnnotation edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.LabelAnnotation edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelIDAnnotation edu.stanford.nlp.ling
CoreAnnotations.LabelWeightAnnotation edu.stanford.nlp.ling
CoreAnnotations.LastGazAnnotation edu.stanford.nlp.ling
CoreAnnotations.LastTaggedAnnotation edu.stanford.nlp.ling
CoreAnnotations.LBeginAnnotation edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LeftChildrenNodeAnnotation edu.stanford.nlp.ling
used in incremental DAG parser
CoreAnnotations.LeftTermAnnotation edu.stanford.nlp.ling
The Standard key for storing the left terminal number relative to the root
of the tree of the leftmost terminal dominated by the current node
CoreAnnotations.LemmaAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the lemma (morphological stem) of a token.
CoreAnnotations.LEndAnnotation edu.stanford.nlp.ling
CoreAnnotations.LengthAnnotation edu.stanford.nlp.ling
CoreAnnotations.LineNumberAnnotation edu.stanford.nlp.ling
Line number for a sentence in a document delimited by newlines
instead of punctuation.
CoreAnnotations.LinkAnnotation edu.stanford.nlp.ling
CoreAnnotations.LMiddleAnnotation edu.stanford.nlp.ling
CoreAnnotations.LocationAnnotation edu.stanford.nlp.ling
Reference location for the document
CoreAnnotations.MaleGazAnnotation edu.stanford.nlp.ling
CoreAnnotations.MarkingAnnotation edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate
nodes
CoreAnnotations.MentionsAnnotation edu.stanford.nlp.ling
CoreAnnotations.MentionTokenAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.MonthAnnotation edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MorphoCaseAnnotation edu.stanford.nlp.ling
CoreAnnotations.MorphoGenAnnotation edu.stanford.nlp.ling
CoreAnnotations.MorphoNumAnnotation edu.stanford.nlp.ling
CoreAnnotations.MorphoPersAnnotation edu.stanford.nlp.ling
CoreAnnotations.NamedEntityTagAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.)
This key is typically set on token annotations.
CoreAnnotations.NeighborsAnnotation edu.stanford.nlp.ling
CoreAnnotations.NERIDAnnotation edu.stanford.nlp.ling
This is an NER ID annotation (in case the all caps parsing didn't work out
for you...)
CoreAnnotations.NormalizedNamedEntityTagAnnotation edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NotAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.NumericCompositeObjectAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericCompositeTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericCompositeValueAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericObjectAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericValueAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumerizedTokensAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumTxtSentencesAnnotation edu.stanford.nlp.ling
Used by RTE to track number of text sentences, to determine when hyp
sentences begin.
CoreAnnotations.OriginalCharAnnotation edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalTextAnnotation edu.stanford.nlp.ling
The exact original surface form of a token.
CoreAnnotations.ParagraphAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.ParagraphsAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParaPositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.ParentAnnotation edu.stanford.nlp.ling
The standard key for the parent which is a String
CoreAnnotations.PartOfSpeechAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PercentAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.PhraseWordsAnnotation edu.stanford.nlp.ling
CoreAnnotations.PhraseWordsTagAnnotation edu.stanford.nlp.ling
CoreAnnotations.PolarityAnnotation edu.stanford.nlp.ling
CoreAnnotations.PositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.PossibleAnswersAnnotation edu.stanford.nlp.ling
CoreAnnotations.PredictedAnswerAnnotation edu.stanford.nlp.ling
CoreAnnotations.PrevChildAnnotation edu.stanford.nlp.ling
used in binarized trees to say the name of the most recent child
CoreAnnotations.PriorAnnotation edu.stanford.nlp.ling
Used in propbank.srl
CoreAnnotations.ProtoAnnotation edu.stanford.nlp.ling
CoreAnnotations.QuotationIndexAnnotation edu.stanford.nlp.ling
Unique identifier within a document for a given quotation.
CoreAnnotations.QuotationsAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.RoleAnnotation edu.stanford.nlp.ling
The standard key for the semantic role label of a phrase.
CoreAnnotations.SectionAnnotation edu.stanford.nlp.ling
Section of a document
CoreAnnotations.SectionDateAnnotation edu.stanford.nlp.ling
Date for a section of a document
CoreAnnotations.SectionEndAnnotation edu.stanford.nlp.ling
Indicates that the token end a section and the label of the section
CoreAnnotations.SectionIDAnnotation edu.stanford.nlp.ling
Id for a section of a document
CoreAnnotations.SectionStartAnnotation edu.stanford.nlp.ling
Indicates that the token starts a new section and the attributes
that should go into that section
CoreAnnotations.SemanticHeadTagAnnotation edu.stanford.nlp.ling
The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadWordAnnotation edu.stanford.nlp.ling
The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticTagAnnotation edu.stanford.nlp.ling
CoreAnnotations.SemanticWordAnnotation edu.stanford.nlp.ling
CoreAnnotations.SentenceBeginAnnotation edu.stanford.nlp.ling
The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceEndAnnotation edu.stanford.nlp.ling
The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceIDAnnotation edu.stanford.nlp.ling
CoreAnnotations.SentenceIndexAnnotation edu.stanford.nlp.ling
Unique identifier within a document for a given sentence.
CoreAnnotations.SentencePositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.SentencesAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the sentences contained by an annotation.
CoreAnnotations.ShapeAnnotation edu.stanford.nlp.ling
The standard key for the "shape" of a word: a String representing the type
of characters in a word, such as "Xx" for a capitalized word.
CoreAnnotations.SpaceBeforeAnnotation edu.stanford.nlp.ling
Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpanAnnotation edu.stanford.nlp.ling
The standard key for span which is an IntPair
CoreAnnotations.SpeakerAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.SRL_ID edu.stanford.nlp.ling
CoreAnnotations.SRLIDAnnotation edu.stanford.nlp.ling
The key for semantic role labels (Note: please add to this description if
you use this key)
CoreAnnotations.SRLInstancesAnnotation edu.stanford.nlp.ling
CoreAnnotations.StackedNamedEntityTagAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.) from a previous NER tagger.
CoreAnnotations.StateAnnotation edu.stanford.nlp.ling
The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StemAnnotation edu.stanford.nlp.ling
Morphological stem of the word this label represents
CoreAnnotations.SubcategorizationAnnotation edu.stanford.nlp.ling
CoreAnnotations.TagLabelAnnotation edu.stanford.nlp.ling
Used in Trees
CoreAnnotations.TextAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text.
CoreAnnotations.TokenBeginAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenEndAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokensAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TopicAnnotation edu.stanford.nlp.ling
Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TrueCaseAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the token-level true case annotation (e.g.,
INIT_UPPER)
This key is typically set on token annotations.
CoreAnnotations.TrueCaseTextAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueTagAnnotation edu.stanford.nlp.ling
CoreAnnotations.UBlockAnnotation edu.stanford.nlp.ling
CoreAnnotations.UnaryAnnotation edu.stanford.nlp.ling
whether the node is the parent in a unary rule
CoreAnnotations.UnknownAnnotation edu.stanford.nlp.ling
CoreAnnotations.UseMarkedDiscourseAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UtteranceAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.ValueAnnotation edu.stanford.nlp.ling
Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.VerbSenseAnnotation edu.stanford.nlp.ling
Probank key for the Verb sense given in the Propbank Annotation, should
only be in the verbnode
CoreAnnotations.WebAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordFormAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordnetSynAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordPositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordSenseAnnotation edu.stanford.nlp.ling
CoreAnnotations.XmlContextAnnotation edu.stanford.nlp.ling
Used in CleanXMLAnnotator.
CoreAnnotations.XmlElementAnnotation edu.stanford.nlp.ling
Used in SimpleXMLAnnotator.
CoreAnnotations.YearAnnotation edu.stanford.nlp.ling
coref(Document) SieveCoreferenceSystem
Extracts coreference clusters.
coref(Document, StringBuilder[]) CorefSystem
main entry of coreference system.
coref(Document) CorefSystem
main entry of coreference system.
coref(Annotation) CorefSystem
main entry of coreference system.
coref(Properties, AnnotatorImplementations) AnnotatorFactories
coref(Properties) AnnotatorImplementations
Annotate for coreference (statistical or hybrid)
coref(Properties) Document
Returns the coref chains in the document.
coref() Document
coref() Sentence
Get the coreference chain for just this sentence.
COREF_REQUIREMENT Annotator
CorefAnnotation() CorefCoreAnnotations.CorefAnnotation
CorefAnnotation() CorefCoreAnnotations.CorefAnnotation
CorefAnnotator edu.stanford.nlp.pipeline
This class adds coref information to an Annotation.
CorefAnnotator(Properties) CorefAnnotator
CorefChain edu.stanford.nlp.dcoref
Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) CorefChain
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) CorefChain
Constructor required by CustomAnnotationSerializer
CorefChain edu.stanford.nlp.hcoref.data
Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) CorefChain
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) CorefChain
Constructor required by CustomAnnotationSerializer
CorefChain.CorefMention edu.stanford.nlp.dcoref
Mention for coref output.
CorefChain.CorefMention edu.stanford.nlp.hcoref.data
Mention for coref output.
CorefChain.CorefMentionComparator edu.stanford.nlp.dcoref
CorefChain.CorefMentionComparator edu.stanford.nlp.hcoref.data
CorefChain.MentionComparator edu.stanford.nlp.dcoref
CorefChain.MentionComparator edu.stanford.nlp.hcoref.data
COREFCHAIN_FIELD_NUMBER CoreNLPProtos.Document
CorefChainAnnotation() CorefCoreAnnotations.CorefChainAnnotation
CorefChainAnnotation() CorefCoreAnnotations.CorefChainAnnotation
CorefCluster edu.stanford.nlp.dcoref
One cluster for the SieveCoreferenceSystem.
CorefCluster(int) CorefCluster
CorefCluster(int, Set<Mention>) CorefCluster
CorefCluster edu.stanford.nlp.hcoref.data
One cluster for the SieveCoreferenceSystem.
CorefCluster(int) CorefCluster
CorefCluster(int, Set<Mention>) CorefCluster
CorefClusterAnnotation() CorefCoreAnnotations.CorefClusterAnnotation
Deprecated.
CorefClusterAnnotation() CorefCoreAnnotations.CorefClusterAnnotation
corefClusterID CorefChain.CorefMention
corefClusterID Mention
corefClusterID CorefChain.CorefMention
corefClusterID Mention
COREFCLUSTERID_FIELD_NUMBER CoreNLPProtos.Mention
COREFCLUSTERID_FIELD_NUMBER CoreNLPProtos.Token
CorefClusterIdAnnotation() CorefCoreAnnotations.CorefClusterIdAnnotation
CorefClusterIdAnnotation() CorefCoreAnnotations.CorefClusterIdAnnotation
corefClusters Document
Clusters for coreferent mentions
corefClusters Document
Clusters for coreferent mentions
CorefCoreAnnotations edu.stanford.nlp.dcoref
Similar to
CoreAnnotations,
but this class contains
annotations made specifically for storing Coref data.
CorefCoreAnnotations() CorefCoreAnnotations
CorefCoreAnnotations edu.stanford.nlp.hcoref
Similar to
CoreAnnotations,
but this class contains
annotations made specifically for storing Coref data.
CorefCoreAnnotations() CorefCoreAnnotations
CorefCoreAnnotations.CorefAnnotation edu.stanford.nlp.dcoref
The standard key for the coref label.
CorefCoreAnnotations.CorefAnnotation edu.stanford.nlp.hcoref
the standard key for the coref label.
CorefCoreAnnotations.CorefChainAnnotation edu.stanford.nlp.dcoref
CorefChainID - CorefChain map.
CorefCoreAnnotations.CorefChainAnnotation edu.stanford.nlp.hcoref
CorefChainID - CorefChain map
CorefCoreAnnotations.CorefClusterAnnotation edu.stanford.nlp.dcoref
CorefCoreAnnotations.CorefClusterAnnotation edu.stanford.nlp.hcoref
Set of all the CoreLabel objects which are coreferent with a
CoreLabel.
CorefCoreAnnotations.CorefClusterIdAnnotation edu.stanford.nlp.dcoref
An integer representing a document-level unique cluster of
coreferent entities.
CorefCoreAnnotations.CorefClusterIdAnnotation edu.stanford.nlp.hcoref
An integer representing a document-level unique cluster of
coreferent entities.
CorefCoreAnnotations.CorefDestAnnotation edu.stanford.nlp.dcoref
Destination of the coreference link for this word (if any).
CorefCoreAnnotations.CorefDestAnnotation edu.stanford.nlp.hcoref
Destination of the coreference link for this word (if any): it
contains the index of the sentence and the index of the word that
are the end of this coref link Both indices start at 1 The
sentence index is IntTuple.get(0); the token index in the
sentence is IntTuple.get(1)
CorefCoreAnnotations.CorefGraphAnnotation edu.stanford.nlp.dcoref
Deprecated.
CorefCoreAnnotations.CorefGraphAnnotation edu.stanford.nlp.hcoref
Deprecated.
CorefCoreAnnotations.CorefMentionsAnnotation edu.stanford.nlp.hcoref
this annotation marks in every sentence the mentions used for coref
CorefDestAnnotation() CorefCoreAnnotations.CorefDestAnnotation
CorefDestAnnotation() CorefCoreAnnotations.CorefDestAnnotation
corefDict Dictionaries
corefDict Dictionaries
CorefDictionaryMatch edu.stanford.nlp.dcoref.sievepasses
Sieve that uses the coreference dictionary for the technical domain
developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() CorefDictionaryMatch
CorefDictionaryMatch edu.stanford.nlp.hcoref.sieve
Sieve that uses the coreference dictionary for the technical domain
developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() CorefDictionaryMatch
corefDictPMI Dictionaries
corefDictPMI Dictionaries
CorefDocMaker edu.stanford.nlp.hcoref
make Document for coref input from Annotation and optional info
read input (raw, conll etc) with DocReader, mention detection, and document preprocessing will be done here
CorefDocMaker(Properties, Dictionaries) CorefDocMaker
coreferenceContextSize AnnotationOutputter.Options
Should a small window of context be provided with each coreference mention
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>, Semantics) DeterministicCorefSieve
Checks if two clusters are coreferent according to our sieve pass constraints.
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) DeterministicCorefSieve
Checks if two clusters are coreferent according to our sieve pass constraints
CorefGraphAnnotation() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
CorefGraphAnnotation() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
COREFID_FIELD_NUMBER CoreNLPProtos.Entity
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) CorefChain.CorefMention
This constructor is used to recreate a CorefMention following serialization.
CorefMention(Mention, IntTuple) CorefChain.CorefMention
This constructor builds the external CorefMention class from the internal Mention.
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) CorefChain.CorefMention
CorefMention(Mention, IntTuple) CorefChain.CorefMention
CorefMentionAnnotation() CoNLL2011DocumentReader.CorefMentionAnnotation
CorefMentionAnnotation() CoNLLDocumentReader.CorefMentionAnnotation
CorefMentionComparator() CorefChain.CorefMentionComparator
CorefMentionComparator() CorefChain.CorefMentionComparator
CorefMentionFinder edu.stanford.nlp.dcoref
Interface for finding coref mentions in a document.
CorefMentionFinder edu.stanford.nlp.hcoref.md
Interface for finding coref mentions in a document.
CorefMentionFinder() CorefMentionFinder
corefMentions CorefCluster
corefMentions CorefCluster
CorefMentionsAnnotation() CorefCoreAnnotations.CorefMentionsAnnotation
CorefPrinter edu.stanford.nlp.hcoref
CorefPrinter() CorefPrinter
CorefProperties edu.stanford.nlp.hcoref
CorefProperties() CorefProperties
CorefProperties.CorefInputType edu.stanford.nlp.hcoref
CorefProperties.MentionDetectionType edu.stanford.nlp.hcoref
corefReturnHybridOutput(Document) SieveCoreferenceSystem
CorefScorer edu.stanford.nlp.dcoref
Wrapper for a coreference resolution score: MUC, B cubed, Pairwise.
CorefSystem edu.stanford.nlp.hcoref
CorefSystem(Properties) CorefSystem
coreKey AnnotationLookup.KeyLookup
CoreLabel edu.stanford.nlp.ling
A CoreLabel represents a single word with ancillary information
attached using CoreAnnotations.
CoreLabel() CoreLabel
Default constructor, calls super()
CoreLabel(int) CoreLabel
Initializes this CoreLabel, pre-allocating arrays to hold
up to capacity key,value pairs.
CoreLabel(CoreLabel) CoreLabel
Returns a new CoreLabel instance based on the contents of the given
CoreLabel.
CoreLabel(CoreMap) CoreLabel
Returns a new CoreLabel instance based on the contents of the given
CoreMap.
CoreLabel(Label) CoreLabel
Returns a new CoreLabel instance based on the contents of the given
label.
CoreLabel(String[], String[]) CoreLabel
This constructor attempts to parse the String keys
into Class keys.
CoreLabel.GenericAnnotation T > - Interface in edu.stanford.nlp.ling
Class that all "generic" annotations extend.
CoreLabel.OutputFormat edu.stanford.nlp.ling
coreLabelFactory() SpanishTokenizer
a factory that vends CoreLabel tokens with default tokenization.
coreLabelFactory() PTBTokenizer
CoreLabelTokenFactory edu.stanford.nlp.process
Constructs
CoreLabels from Strings optionally with
beginning and ending (character after the end) offset positions in
an original text.
CoreLabelTokenFactory() CoreLabelTokenFactory
Constructor for a new token factory which will add in the word, the
"current" annotation, and the begin/end position annotations.
CoreLabelTokenFactory(boolean) CoreLabelTokenFactory
Constructor that allows one to choose if index annotation
indicating begin/end position will be included in the label.
CoreMap edu.stanford.nlp.util
Base type for all annotatable core objects.
COREMAP_LIST_TO_STRING_CONVERTER CoreMapSequenceMatcher
COREMAP_TO_CHAR_OFFSETS_INTERVAL_FUNC MatchedExpression
COREMAP_TO_TOKEN_OFFSETS_INTERVAL_FUNC MatchedExpression
CoreMapAggregator edu.stanford.nlp.pipeline
Function that aggregates several core maps into one
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>) CoreMapAggregator
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) CoreMapAggregator
CoreMapAttributeAggregator edu.stanford.nlp.pipeline
Functions for aggregating token attributes.
CoreMapAttributeAggregator() CoreMapAttributeAggregator
CoreMapAttributeAggregator.ConcatAggregator edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatCoreMapListAggregator T extends CoreMap > - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatListAggregator T > - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatTextAggregator edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.MostFreqAggregator edu.stanford.nlp.pipeline
CoreMapExpressionExtractor T extends MatchedExpression > - Class in edu.stanford.nlp.ling.tokensregex
Represents a list of assignment and extraction rules over sequence patterns.
CoreMapExpressionExtractor() CoreMapExpressionExtractor
Creates an empty instance with no rules.
CoreMapExpressionExtractor(Env) CoreMapExpressionExtractor
Creates a default instance with the specified environment.
CoreMapExpressionExtractor(Env, List<SequenceMatchRules.Rule>) CoreMapExpressionExtractor
Creates an instance with the specified environment and list of rules
CoreMapExpressionExtractor.Stage T > - Class in edu.stanford.nlp.ling.tokensregex
Describes one stage of extraction.
CoreMapExpressionNodePattern edu.stanford.nlp.ling.tokensregex
Pattern for matching a CoreMap using a generic expression
CoreMapExpressionNodePattern() CoreMapExpressionNodePattern
CoreMapExpressionNodePattern(Env, Expression) CoreMapExpressionNodePattern
CoreMapExprNodePattern(Env) TokenSequenceParser
CoreMapExtractRule(Env, Class, SequenceMatchRules.ExtractRule<T, O>) SequenceMatchRules.CoreMapExtractRule
CoreMapFunctionApplier(Env, Class, Function<T, O>) SequenceMatchRules.CoreMapFunctionApplier
CoreMapNode(Env) TokenSequenceParser
CoreMapNodePattern edu.stanford.nlp.ling.tokensregex
Pattern for matching a CoreMap
CoreMapNodePattern(List<Pair<Class, NodePattern>>) CoreMapNodePattern
CoreMapNodePattern(Pair<Class, NodePattern>...) CoreMapNodePattern
CoreMapNodePattern(Class, NodePattern) CoreMapNodePattern
CoreMapNodePattern.AttributesEqualMatchChecker K > - Class in edu.stanford.nlp.ling.tokensregex
CoreMapNodePatternTrigger edu.stanford.nlp.ling.tokensregex
Trigger for CoreMap Node Patterns.
CoreMapNodePatternTrigger(SequencePattern<CoreMap>...) CoreMapNodePatternTrigger
CoreMapNodePatternTrigger(Collection<? extends SequencePattern<CoreMap>>) CoreMapNodePatternTrigger
CoreMapSequenceMatchAction T extends CoreMap > - Class in edu.stanford.nlp.ling.tokensregex
Performs a action on a matched sequence
CoreMapSequenceMatchAction() CoreMapSequenceMatchAction
CoreMapSequenceMatchAction.AnnotateAction T extends CoreMap > - Class in edu.stanford.nlp.ling.tokensregex
CoreMapSequenceMatchAction.MergeAction edu.stanford.nlp.ling.tokensregex
CoreMapSequenceMatcher T extends CoreMap > - Class in edu.stanford.nlp.ling.tokensregex
CoreMap Sequence Matcher for regular expressions for sequences over coremaps
CoreMapSequenceMatcher(SequencePattern<T>, List<? extends T>) CoreMapSequenceMatcher
CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher edu.stanford.nlp.ling.tokensregex
CoreMapToListExtractRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, O>) SequenceMatchRules.CoreMapToListExtractRule
CoreMapToListFunctionApplier(Env, Function<List<? extends CoreMap>, O>) SequenceMatchRules.CoreMapToListFunctionApplier
CoreMapVarNodePattern(Env) TokenSequenceParser
CoreMapVarValue(Env) TokenSequenceParser
CoreMapWordPattern(Env) TokenSequenceParser
CoreNLPHandler(Properties) StanfordCoreNLPServer.CoreNLPHandler
Create a handler for accepting annotation requests.
CoreNLPProtos edu.stanford.nlp.pipeline
CoreNLPProtos.CorefChain edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.CorefChain
CoreNLPProtos.CorefChain.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.CorefChain
CoreNLPProtos.CorefChain.CorefMention edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
CoreNLPProtos.CorefChain.CorefMention.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
CoreNLPProtos.CorefChain.CorefMentionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.CorefChainOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraph edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph
CoreNLPProtos.DependencyGraph.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph
CoreNLPProtos.DependencyGraph.Edge edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
CoreNLPProtos.DependencyGraph.Edge.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
CoreNLPProtos.DependencyGraph.EdgeOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraph.Node edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
CoreNLPProtos.DependencyGraph.Node.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
CoreNLPProtos.DependencyGraph.NodeOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraphOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Document edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Document
CoreNLPProtos.Document.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Document
CoreNLPProtos.DocumentOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Entity edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Entity
CoreNLPProtos.Entity.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Entity
CoreNLPProtos.EntityOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.IndexedWord edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.IndexedWord
CoreNLPProtos.IndexedWord.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.IndexedWord
CoreNLPProtos.IndexedWordOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Language edu.stanford.nlp.pipeline
Protobuf enum edu.stanford.nlp.pipeline.Language
CoreNLPProtos.MapIntString edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.MapIntString
CoreNLPProtos.MapIntString.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.MapIntString
CoreNLPProtos.MapIntStringOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.MapStringString edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.MapStringString
CoreNLPProtos.MapStringString.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.MapStringString
CoreNLPProtos.MapStringStringOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Mention edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Mention
CoreNLPProtos.Mention.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Mention
CoreNLPProtos.MentionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.NaturalLogicRelation edu.stanford.nlp.pipeline
Protobuf enum edu.stanford.nlp.pipeline.NaturalLogicRelation
CoreNLPProtos.NERMention edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.NERMention
CoreNLPProtos.NERMention.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.NERMention
CoreNLPProtos.NERMentionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.OpenIETriple edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.OpenIETriple
CoreNLPProtos.OpenIETriple.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.OpenIETriple
CoreNLPProtos.OpenIETripleOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Operator edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Operator
CoreNLPProtos.Operator.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Operator
CoreNLPProtos.OperatorOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.ParseTree edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.ParseTree
CoreNLPProtos.ParseTree.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.ParseTree
CoreNLPProtos.ParseTreeOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Polarity edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Polarity
CoreNLPProtos.Polarity.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Polarity
CoreNLPProtos.PolarityOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Quote edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Quote
CoreNLPProtos.Quote.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Quote
CoreNLPProtos.QuoteOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Relation edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Relation
CoreNLPProtos.Relation.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Relation
CoreNLPProtos.RelationOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Sentence edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Sentence
CoreNLPProtos.Sentence.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Sentence
CoreNLPProtos.SentenceFragment edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.SentenceFragment
CoreNLPProtos.SentenceFragment.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.SentenceFragment
CoreNLPProtos.SentenceFragmentOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.SentenceOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Sentiment edu.stanford.nlp.pipeline
Protobuf enum edu.stanford.nlp.pipeline.Sentiment
CoreNLPProtos.Span edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Span
CoreNLPProtos.Span.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Span
CoreNLPProtos.SpanOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.SpeakerInfo edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
CoreNLPProtos.SpeakerInfo.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
CoreNLPProtos.SpeakerInfoOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Timex edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Timex
CoreNLPProtos.Timex.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Timex
CoreNLPProtos.TimexOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Token edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Token
CoreNLPProtos.Token.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Token
CoreNLPProtos.TokenOrBuilder edu.stanford.nlp.pipeline
CoreTokenFactory IN extends CoreMap > - Interface in edu.stanford.nlp.process
To make tokens like CoreMap or CoreLabel.
corporaDict NonDict2
CorpusChar edu.stanford.nlp.wordseg
Check tag of each character from 5 different corpora.
CorpusChar(String) CorpusChar
CorpusDictionary edu.stanford.nlp.wordseg
Check if a bigram exists in bakeoff corpora.
CorpusDictionary(String) CorpusDictionary
Load a dictionary of words.
CorpusDictionary(String, boolean) CorpusDictionary
CorpusStats() CoNLL2011DocumentReader.CorpusStats
CorpusStats() CoNLLDocumentReader.CorpusStats
correct(double, int) PRCurve
correctDependencies(List<TypedDependency>) EnglishGrammaticalStructure
correctDependencies(List<TypedDependency>) GrammaticalStructure
Destructively modify the TypedDependencyGraph to correct
language-dependent dependencies.
correctDependencies(List<TypedDependency>) UniversalEnglishGrammaticalStructure
correctDependencies(SemanticGraph) UniversalEnglishGrammaticalStructure
correctGuesses MultiClassPrecisionRecallExtendedStats
correctTags EnglishTreebankParserParams.EnglishTrain
'Correct' tags to produce verbs in VPs, etc.
correctTags TestSentence
cosine(SimpleMatrix, SimpleMatrix) NeuralUtils
Compute cosine distance between two column vectors.
cosine(Counter<E>, Counter<E>) Counters
cost(K, K, int) ExactMatchCost
cost(K, K, int) MatchCostFunction.AbstractMatchCostFunction
cost(K, K, K, int) MatchCostFunction.AbstractMatchCostFunction
cost(K, K, int) MatchCostFunction
CostMagnificationAnnotation() CoreAnnotations.CostMagnificationAnnotation
costs MaxMarginMentionRanker
COUNT CoreMapAttributeAggregator
countCloseToZero(double[], double) ArrayMath
countCommas(int, int) AceDocument
countEntityResults(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) IOBUtils
For a sequence labeling task with multi-token entities, like NER,
this works out TP, FN, FP counts that can be used for entity-level
F1 results.
Counter E > - Interface in edu.stanford.nlp.stats
An Object to double map used for keeping weights or counts for objects.
counter Distribution
Counters edu.stanford.nlp.stats
Static methods for operating on a
Counter.
counterView() GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of
this as a
ClassicCounter.
countHistory(IntDependency) MLEDependencyGrammar
countInfinite(double[]) ArrayMath
countLengthAccuracy(Tree) AbstractEvaluate
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>) SplittingGrammarExtractor
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
countNaN(double[]) ArrayMath
countNegative(double[]) ArrayMath
countNewLines(String, int, int) RobustTokenizer
countNonZero(double[]) ArrayMath
countOriginalStates() SplittingGrammarExtractor
Count all the internal labels in all the trees, and set their
initial state counts to 1.
countPositive(double[]) ArrayMath
countResults(List<IN>, Counter<String>, Counter<String>, Counter<String>) AbstractSequenceClassifier
Count results using a method appropriate for the tag scheme being used.
countResults(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>, boolean) GetPatternsFromDataMultiClass
countResultsPerEntity(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) GetPatternsFromDataMultiClass
COPIED from CRFClassifier: Count the successes and failures of the model on
the given document.
countResultsPerToken(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) GetPatternsFromDataMultiClass
Count the successes and failures of the model on the given document
***token-based***.
countResultsSegmenter(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>) AbstractSequenceClassifier
countries Dictionaries
countries Dictionaries
COUNTRIES_PROP Constants
COUNTRIES_PROP CorefProperties
countRoot(Tree) AbstractEvaluate
countSpanErrors(TreebankLanguagePack, Tree, Tree) TreeSpanScoring
Counts how many spans are present in goldTree, including
preterminals, but not present in guessTree, along with how many
spans are present in guessTree and not goldTree.
countTree(Tree) TopNGramRecord
Adds the tree and all its subtrees to the appropriate
PriorityQueues for each predicted class.
countTree(Tree) AbstractEvaluate
countVerbs(int, int) AceDocument
CountWrapper edu.stanford.nlp.tagger.maxent
A simple data structure for some tag counts.
CountWrapper() CountWrapper
CountWrapper(String, int, int, int, int) CountWrapper
covariance(double[][]) ArrayMath
COVER_VALUE CoreNLPProtos.NaturalLogicRelation
COVER = 5;
CovertIDAnnotation() CoreAnnotations.CovertIDAnnotation
cp(File, File, boolean) IOUtils
An implementation of cp, as close to the Unix command as possible.
cp(File, File) IOUtils
cPOS Config
Use coarse POS instead of fine-grained POS if cPOS = true.
cPosDef SMDMinimizer
create(Env) SequenceMatchRules.AnnotationExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.AnnotationExtractRuleCreator
create(Env, SequencePattern.PatternExpr, Expression) SequenceMatchRules.CompositeExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.CompositeExtractRuleCreator
create(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) SequenceMatchRules.MultiTokenPatternExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.MultiTokenPatternExtractRuleCreator
create(Env, String, Expression) SequenceMatchRules.TextPatternExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.TextPatternExtractRuleCreator
create(Env, SequencePattern.PatternExpr, Expression) SequenceMatchRules.TokenPatternExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.TokenPatternExtractRuleCreator
create() SequencePattern.SequenceEndPatternExpr
create() SequencePattern.SequenceStartPatternExpr
create(String) ConstantsAndVariables.ScorePhraseMeasures
create(InputStream) AbstractTextAnnotationCreator
create(InputStream, String) AbstractTextAnnotationCreator
create(Reader) AbstractTextAnnotationCreator
create(InputStream) AnnotationCreator
create(InputStream, String) AnnotationCreator
create(Reader) AnnotationCreator
create() AnnotatorFactory
Creates and returns an Annotator given the local properties.
create(Expressions.CompositeValue) SUTime.StandardTemporalType
create() TimeExpressionExtractorFactory
create(String, Properties) TimeExpressionExtractorFactory
create(String) TimeExpressionExtractorFactory
create(String, String, Properties) TimeExpressionExtractorFactory
create(int, float, boolean, String, boolean) CacheMap
Creates a new file-backed CacheMap or loads it in from the specified file
if it already exists.
create(int, float, String, boolean) CacheMap
create(int, String, boolean) CacheMap
create(String, boolean) CacheMap
create() Factory
Creates and returns a new instance of the given type.
create(String) MetaClass
Creates a new MetaClass (helper method)
create(Class<?>) MetaClass
Creates a new MetaClass (helper method)
CREATE_REGEX_FUNCTION ValueFunctions
createAnnotationExtractor(Env, SequenceMatchRules.AnnotationExtractRule) SequenceMatchRules
createArrays(int) ExhaustivePCFGParser
createAssignmentRule(Env, AssignableExpression, Expression) SequenceMatchRules
createClassifier(double[]) ClassifierCreator
createClassifier(double[]) LinearClassifierFactory.LinearClassifierCreator
createCoreMap(CoreMap, String, int, int, CoreTokenFactory<T>) ChunkAnnotationUtils
createDataset(Annotation) BasicRelationExtractor
createDataset(List<CoreMap>) AnnotationUtils
Given a list of sentences (as CoreMaps), wrap it in a new Annotation.
createDatum(RelationMention) BasicRelationExtractor
createDatum(RelationMention, String) BasicRelationExtractor
createDatum(RelationMention) BasicRelationFeatureFactory
createDatum(RelationMention, Logger) BasicRelationFeatureFactory
createDatum(RelationMention, String) BasicRelationFeatureFactory
createDatum(RelationMention, String) RelationFeatureFactory
createDatum(RelationMention) RelationFeatureFactory
createDocument() XMLUtils
createElement(String) XMLUtils
createExtractionRule(Env, Map<String, Object>) SequenceMatchRules
createExtractionRule(Env, String, Object, Expression) SequenceMatchRules
createExtractor() GenericTimeExpressionPatterns
createExtractor() TimeExpressionExtractorFactory
createExtractor(String, Properties) TimeExpressionExtractorFactory
createExtractor() TimeExpressionPatterns
Creates a CoreMapExpressionExtractor that knows how
to extract time related expressions from text into CoreMaps
createExtractorFromFile(Env, String) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filename.
createExtractorFromFiles(Env, String...) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filenames
createExtractorFromFiles(Env, List<String>) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filenames.
createExtractorFromString(Env, String) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given string
createFactory(Class<?>...) MetaClass
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
createFactory(String...) MetaClass
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
createFactory(Object...) MetaClass
Creates a factory for producing instances of this class from a
constructor taking objects of the types given
createFromFile(String) AbstractTextAnnotationCreator
createFromFile(File) AbstractTextAnnotationCreator
createFromFile(String) AnnotationCreator
createFromFile(File) AnnotationCreator
createFromText(String) AnnotationCreator
createFromText(String) TextAnnotationCreator
createGraphFromPaths(List, int) TransducerGraph
If markovOrder is zero, we always transition back to the start state
If markovOrder is negative, we assume that it is infinite
createGraphFromPaths(ClassicCounter<List<T>>, int) TransducerGraph
createIndex() Experiments
createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) InvertedIndexByTokens
createIndex(Class<? extends SentenceIndex>, Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) SentenceIndex
createIndexedWordProtoFromCL(CoreLabel) ProtobufAnnotationSerializer
createIndexedWordProtoFromIW(IndexedWord) ProtobufAnnotationSerializer
createIndexIfUsingDBAndNotExists() PatternsForEachToken
createIndexIfUsingDBAndNotExists() PatternsForEachTokenDB
createIndexIfUsingDBAndNotExists() PatternsForEachTokenInMemory
createInstance(Object...) MetaClass.ClassFactory
Creates an instance of the class produced in this factory
createInstance(Object...) MetaClass
Create an instance of the class, inferring the type automatically, and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
createInstance(Class<E>, Object...) MetaClass
Creates an instance of the class, forcing a cast to a certain type and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
createLinearClassifier(double[]) LinearClassifierFactory.LinearClassifierCreator
createMatchedExpression(Interval<Integer>, Interval<Integer>) MatchedExpression.SingleAnnotationExtractor
createMultiTokenPatternRule(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) SequenceMatchRules
createNERClassifierCombiner(String, Properties) NERClassifierCombiner
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
createNERClassifierCombiner(String, Set<String>, Properties) NERClassifierCombiner
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
createOrGet(String) CandidatePhrase
createOrGet(String, String) CandidatePhrase
createOrGet(String, String, Counter<String>) CandidatePhrase
createOutputter(Properties, AnnotationOutputter.Options) StanfordCoreNLP
createPats GetPatternsFromDataMultiClass
createPattern(String) MultiWordStringMatcher
CreatePatterns E > - Class in edu.stanford.nlp.patterns.surface
CreatePatterns(Properties, ConstantsAndVariables) CreatePatterns
CreatePatterns.CreatePatternsThread edu.stanford.nlp.patterns.surface
CreatePatternsThread(Map<String, DataInstance>, List<String>, Properties, ConstantsAndVariables.PatternForEachTokenWay) CreatePatterns.CreatePatternsThread
createProbabilisticClassifier(double[]) LinearClassifierFactory.LinearClassifierCreator
createProbabilisticClassifier(double[]) ProbabilisticClassifierCreator
createRandomGraph(int, int, double, int, List) TransducerGraph
For testing only.
createRandomPaths(int, int, double, int) TransducerGraph
createRecord(Properties, String) TaggedFileRecord
createRecords(Properties, String) TaggedFileRecord
createRule(Env, Expressions.CompositeValue) SequenceMatchRules
CreateSubtreeNode edu.stanford.nlp.trees.tregex.tsurgeon
Given the start and end children of a particular node, takes all
children between start and end (including the endpoints) and
combines them in a new node with the given label.
CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) CreateSubtreeNode
CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) CreateSubtreeNode
createTemporal(SUTime.StandardTemporalType, T) SUTime
createTemporal(SUTime.StandardTemporalType, String, T) SUTime
createTemporal(SUTime.StandardTemporalType, String, String, T) SUTime
createTemporal(int) SUTime.StandardTemporalType
createTemporal(int) SUTime.TimeUnit
createTestDatum(RelationMention, Logger) BasicRelationFeatureFactory
createTestDatum(RelationMention, Logger) RelationFeatureFactory
createTextNode(String) XMLUtils
createTextPatternRule(Env, String, Expression) SequenceMatchRules
createTokenPatternRule(Env, SequencePattern.PatternExpr, Expression) SequenceMatchRules
CreateTransitionSequence edu.stanford.nlp.parser.shiftreduce
createTransitionSequence(Tree) CreateTransitionSequence
createTransitionSequence(Tree, boolean, Set<String>, Set<String>) CreateTransitionSequence
createTransitionSequences(List<Tree>, boolean, Set<String>, Set<String>) CreateTransitionSequence
createUnrelatedRelation(RelationMentionFactory, ExtractionObject...) RelationMention
createUnrelatedRelations BasicRelationExtractor
If true, it creates automatically negative examples by generating all combinations between EntityMentions in a sentence
This is the common behavior, but for some domain (i.e., KBP) it must disabled.
createUnrelatedRelations MachineReadingProperties
createUnrelatedRelations RelationExtractorResultsPrinter
createUpsertFunction() PatternsForEachTokenDB
createUpsertFunctionPatternIndex() PatternsForEachTokenDB
createValue(String, T, String...) Expressions
CRFBiasedClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
CRFBiasedClassifier is used to adjust the precision-recall tradeoff
of any CRF model implemented using CRFClassifier.
CRFBiasedClassifier(Properties) CRFBiasedClassifier
CRFBiasedClassifier(SeqClassifierFlags) CRFBiasedClassifier
CRFClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Class for sequence classification using a Conditional Random Field model.
CRFClassifier() CRFClassifier
CRFClassifier(Properties) CRFClassifier
CRFClassifier(SeqClassifierFlags) CRFClassifier
CRFClassifier(CRFClassifier<IN>) CRFClassifier
Makes a copy of the crf classifier
CRFClassifierEvaluator IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Evaluates CRFClassifier on a set of data
- called by QNMinimizer periodically
- If evalCmd is set, runs command line specified by evalCmd
otherwise does evaluation internally
NOTE: when running conlleval with exec on Linux, linux will first
fork process by duplicating memory of current process.
CRFClassifierEvaluator(String, CRFClassifier<IN>, Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) CRFClassifierEvaluator
CRFClassifierEvaluator(String, CRFClassifier<IN>) CRFClassifierEvaluator
CRFClassifierFloat IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier that performs dropout feature-noisying training
CRFClassifierFloat() CRFClassifierFloat
CRFClassifierFloat(Properties) CRFClassifierFloat
CRFClassifierFloat(SeqClassifierFlags) CRFClassifierFloat
CRFClassifierNoisyLabel IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier for modeling noisy label
CRFClassifierNoisyLabel(SeqClassifierFlags) CRFClassifierNoisyLabel
CRFClassifierNonlinear IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of
CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...].
CRFClassifierNonlinear() CRFClassifierNonlinear
CRFClassifierNonlinear(Properties) CRFClassifierNonlinear
CRFClassifierNonlinear(SeqClassifierFlags) CRFClassifierNonlinear
CRFClassifierWithDropout IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier that performs dropout feature-noising training.
CRFClassifierWithDropout(SeqClassifierFlags) CRFClassifierWithDropout
CRFClassifierWithLOP IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of
CRFClassifier for learning Logarithmic Opinion Pools.
CRFClassifierWithLOP() CRFClassifierWithLOP
CRFClassifierWithLOP(Properties) CRFClassifierWithLOP
CRFClassifierWithLOP(SeqClassifierFlags) CRFClassifierWithLOP
CRFCliqueTree E > - Class in edu.stanford.nlp.ie.crf
Builds a CliqueTree (an array of FactorTable) and does message passing
inference along it.
CRFCliqueTree(FactorTable[], Index<E>, E) CRFCliqueTree
Initialize a clique tree.
CRFDatum FEAT ,LAB > - Class in edu.stanford.nlp.ie.crf
The representation of Datums used internally in CRFClassifier.
CRFDatum(List<FEAT>, LAB, List<double[]>) CRFDatum
Constructs a new BasicDatum with the given features and label.
CRFFeatureExporter IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Exports CRF features for use with other programs.
CRFFeatureExporter(CRFClassifier<IN>) CRFFeatureExporter
CRFLabel edu.stanford.nlp.ie.crf
CRFLabel(int[]) CRFLabel
CRFLogConditionalObjectiveFloatFunction edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunction edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionForLOP edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionNoisyLabel edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionWithDropout edu.stanford.nlp.ie.crf
CRFNonLinearLogConditionalObjectiveFunction edu.stanford.nlp.ie.crf
CRFNonLinearSecondOrderLogConditionalObjectiveFunction edu.stanford.nlp.ie.crf
CRForder SeqClassifierFlags
crfSegmenterProp SeqClassifierFlags
crfToExamine SeqClassifierFlags
crfType SeqClassifierFlags
CRFwindow SeqClassifierFlags
cross(Set<E>, Set<F>) Sets
Returns the set cross product of s1 and s2, as Pairs
CROSS_OUT Redwood.Util
crossEntropy(Counter<E>, Counter<E>) Counters
Note that this implementation doesn't normalize the "from" Counter.
crosses(Constituent) Constituent
Detects whether this constituent overlaps a constituent without
nesting, that is, whether they "cross".
crosses(Collection<Constituent>) Constituent
Detects whether this constituent overlaps any of a Collection of
Constituents without
nesting, that is, whether it "crosses" any of them.
crossValidate(GeneralDataset<String, String>, List<String[]>) ColumnDataClassifier
Run cross-validation on a dataset, and return accuracy and macro-F1 scores.
crossValidate MachineReadingProperties
crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) SVMLightClassifierFactory
This method will cross validate on the given data and number of folds
to find the optimal C.
crossValidateSetSigma(GeneralDataset<L, F>) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer.
CrossValidator L ,F > - Class in edu.stanford.nlp.classify
This class is meant to simplify performing cross validation of
classifiers for hyper-parameters.
CrossValidator(GeneralDataset<L, F>) CrossValidator
CrossValidator(GeneralDataset<L, F>, int) CrossValidator
CrossValidator.SavedState edu.stanford.nlp.classify
ctb_pre_dict CtbDict
ctb_suf_dict CtbDict
CtbDict edu.stanford.nlp.tagger.maxent
CTBErrorCorrectingTreeNormalizer edu.stanford.nlp.trees.international.pennchinese
This was originally written to correct a few errors Galen found in CTB3.
CTBErrorCorrectingTreeNormalizer() CTBErrorCorrectingTreeNormalizer
Constructor with all of the options of the other constructor false
CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) CTBErrorCorrectingTreeNormalizer
Build a CTBErrorCorrectingTreeNormalizer.
CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory edu.stanford.nlp.trees.international.pennchinese
So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
CTBErrorCorrectingTreeReaderFactory() CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
CTBTreeReaderFactory edu.stanford.nlp.trees.international.pennchinese
The CTBTreeReaderFactory is a factory for creating a
TreeReader suitable for the Penn Chinese Treebank (CTB).
CTBTreeReaderFactory() CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer) CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer, boolean) CTBTreeReaderFactory
CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory edu.stanford.nlp.trees.international.pennchinese
CTBunkDict edu.stanford.nlp.tagger.maxent
CUR_WORD_MIN_FEATURE_THRESH TaggerConfig
curElement AbstractStochasticCachingDiffFunction
curF1 AbstractEval
CURRENCY_SYMBOL_PATTERN NumberSequenceClassifier
CURRENCY_WORD_PATTERN NumberSequenceClassifier
current() RedwoodConfiguration
The current Redwood configuration; this is used to make incremental changes
to an existing custom configuration.
CURRENT_SIEVE_FOR_TRAIN_PROP CorefProperties
currentDocId Clusterer
currentDocumentID MentionExtractor
currentPatternWeights GetPatternsFromDataMultiClass
currentToken ParseException
This is the last token that has been consumed successfully.
currentToken ParseException
This is the last token that has been consumed successfully.
currentToken ParseException
This is the last token that has been consumed successfully.
currentToken ParseException
This is the last token that has been consumed successfully.
custom(Properties, String) AnnotatorImplementations
CUSTOM_ANNOTATOR_PREFIX StanfordCoreNLP
CustomAnnotationSerializer edu.stanford.nlp.pipeline
Serializes Annotation objects using our own format.
CustomAnnotationSerializer() CustomAnnotationSerializer
CustomAnnotationSerializer(boolean, boolean) CustomAnnotationSerializer
CustomDateFormatExtractor(String, String) TimeFormatter.CustomDateFormatExtractor
cutoffRelations ExtractPhraseFromPattern
CUTOFFS ParentAnnotationStats
Minimum support * KL to be included in output and as feature
CUTOFFS SisterAnnotationStats
Minimum support * KL to be included in output and as feature
cutoffTags ExtractPhraseFromPattern
cvAveragedModels ShiftReduceTrainOptions
Cross-validate over the number of models to average, using the
dev set, to figure out which number between 1 and averagedModels
we actually want to use
cwa() PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
cwaArray() PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
CYAN Redwood.Util
gain SGDToQNMinimizer
gain StochasticMinimizer
GainCompute(Feature, double) LambdaSolve
Computes the gain from a feature.
gainSchedule(int, double) StochasticMinimizer
gainSGD SeqClassifierFlags
Gale2007ChineseSegmenterFeatureFactory IN extends CoreLabel > - Class in edu.stanford.nlp.wordseg
A Chinese segmenter Feature Factory for the GALE project.
Gale2007ChineseSegmenterFeatureFactory() Gale2007ChineseSegmenterFeatureFactory
gamma(double) SloppyMath
Approximation to gamma function.
gapDecode(byte[]) ArrayUtils
gapDecode(byte[], int, int) ArrayUtils
gapDecodeList(byte[]) ArrayUtils
gapDecodeList(byte[], int, int) ArrayUtils
gapEncode(int[]) ArrayUtils
gapEncodeList(int[]) ArrayUtils
GazAnnotation() CoreAnnotations.GazAnnotation
GazetteerAnnotation() CoreAnnotations.GazetteerAnnotation
gazetteerLocation BasicEntityExtractor
gazettes SeqClassifierFlags
gazFilesFile SeqClassifierFlags
geDebug SeqClassifierFlags
gen SGDMinimizer
gen SGDWithAdaGradAndFOBOS
gen StochasticMinimizer
gender CorefChain.CorefMention
gender Mention
gender CorefChain.CorefMention
gender Mention
gender(Properties, AnnotatorImplementations) AnnotatorFactories
gender(Properties, boolean) AnnotatorImplementations
Annotate for gender of tokens
GENDER_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
GENDER_FIELD_NUMBER CoreNLPProtos.Mention
GENDER_FIELD_NUMBER CoreNLPProtos.Token
GENDER_NUMBER_PROP Constants
GENDER_NUMBER_PROP CorefProperties
GENDER_REQUIREMENT Annotator
GenderAnnotation() MachineReadingAnnotations.GenderAnnotation
GenderAnnotator edu.stanford.nlp.pipeline
This class adds gender information (MALE / FEMALE) to tokens as GenderAnnotations.
GenderAnnotator() GenderAnnotator
GenderAnnotator(boolean, String) GenderAnnotator
genderNumber Dictionaries
genderNumber Dictionaries
genders CorefCluster
genders CorefCluster
gendersAgree(Mention) Mention
gendersAgree(Mention, boolean) Mention
gendersAgree(Mention) Mention
gendersAgree(Mention, boolean) Mention
GeneralDataset L ,F > - Class in edu.stanford.nlp.classify
GeneralDataset() GeneralDataset
GeneralizedCounter K > - Class in edu.stanford.nlp.stats
A class for keeping double counts of
Lists of a
prespecified length.
GeneralizedCounter(int) GeneralizedCounter
Constructs a new GeneralizedCounter of a specified depth
generalizedDependencyPath(List<SemanticGraphEdge>, IndexedWord) BasicRelationFeatureFactory
GeneralizedExpectationObjectiveFunction L ,F > - Class in edu.stanford.nlp.classify
Implementation of Generalized Expectation Objective function for
an I.I.D.
GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) GeneralizedExpectationObjectiveFunction
generalizeRelation(GrammaticalRelation) BasicRelationFeatureFactory
generateCCProcessedDependencies(Tree) SemanticGraphFactory
Produces a CCProcessed SemanticGraph with no extras.
generateCCProcessedDependencies(GrammaticalStructure) SemanticGraphFactory
Produces a CCProcessed SemanticGraph with no extras.
generateCCProcessedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) SemanticGraphFactory
Produces a CCProcessed SemanticGraph with optional extras.
generateCollapsedDependencies(Tree) SemanticGraphFactory
Produces a Collapsed SemanticGraph with no extras.
generateCollapsedDependencies(GrammaticalStructure) SemanticGraphFactory
Produces a Collapsed SemanticGraph with no extras.
generateCollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) SemanticGraphFactory
Produces a Collapsed SemanticGraph with optional extras.
generateOriginalDependencies AbstractTreebankParserParams
generateOriginalDependencies() AbstractTreebankParserParams
generateOriginalDependencies() TreebankLangParserParams
Whether to generate original Stanford Dependencies or the newer
Universal Dependencies.
generateOriginalDependencies AbstractTreebankLanguagePack
For languages where a Universal Dependency converter
exists this variable determines whether the original
or the Universal converter will be used.
generateOriginalDependencies() AbstractTreebankLanguagePack
generateOriginalDependencies() ChineseTreebankLanguagePack
Chinese does not support Universal Dependencies yet,
so always return true.
generateOriginalDependencies() TreebankLanguagePack
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
generateParseException() TokenSequenceParser
Generate ParseException.
generateUncollapsedDependencies(Tree) SemanticGraphFactory
Produces an Uncollapsed SemanticGraph with no extras.
generateUncollapsedDependencies(GrammaticalStructure) SemanticGraphFactory
Produces an Uncollapsed SemanticGraph with no extras.
generateUncollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) SemanticGraphFactory
Produces an Uncollapsed SemanticGraph with optional extras.
generator AbstractCachingDiffFunction
generic Mention
generic Mention
GENERIC_FIELD_NUMBER CoreNLPProtos.Mention
GENERIC_TIME_WORDS NumberSequenceClassifier
GenericAnnotationSerializer edu.stanford.nlp.pipeline
Serializes Annotation objects using the default Java serializer
GenericAnnotationSerializer(boolean) GenericAnnotationSerializer
GenericAnnotationSerializer() GenericAnnotationSerializer
GenericAnnotationSerializer.AppendingObjectOutputStream edu.stanford.nlp.pipeline
Turns out, an ObjectOutputStream cannot append to a file.
GenericDataSetReader edu.stanford.nlp.ie.machinereading
GenericDataSetReader() GenericDataSetReader
GenericDataSetReader(StanfordCoreNLP, boolean, boolean, boolean) GenericDataSetReader
genericKeys CoreLabel
Generics edu.stanford.nlp.util
A collection of utilities to make dealing with Java generics less
painful and verbose.
GenericTimeExpressionPatterns edu.stanford.nlp.time
Provides generic mechanism to convert natural language into temporal representation
by reading patterns/rules specifying mapping between text and temporal objects
from file.
GenericTimeExpressionPatterns(Options) GenericTimeExpressionPatterns
GenericTokensAnnotation() CoreAnnotations.GenericTokensAnnotation
genericValues CoreLabel
GeniaAnnotation() CoreAnnotations.GeniaAnnotation
genre SurfacePattern
genStop Options
genTrainExamples(List<CoreMap>, List<DependencyTree>) DependencyParser
genVals FrenchMorphoFeatureSpecification
German_VALUE CoreNLPProtos.Language
German = 5;
GermanUnknownWordModel edu.stanford.nlp.parser.lexparser
An unknown word model for German; relies on BaseUnknownWordModel plus number matching.
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) GermanUnknownWordModel
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) GermanUnknownWordModel
This constructor creates an UWM with empty data structures.
GermanUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
GermanUnknownWordModelTrainer() GermanUnknownWordModelTrainer
get(String) StringDictionary
get(String, boolean) StringDictionary
Fetches the index of this string If mCreate is true, the entry is created
if it does not exist.
get(int) StringDictionary
Reverse mapping from integer key to string value
get(Class<? extends TypesafeMap.Key<VALUE>>) IndexedWord
get(String) Env
get(Object) BoundedCostOrderedMap
get(Object) TrieMap
get(Iterable<K>) TrieMap
get(K[]) TrieMap
get(Object) PhraseTable
get(int) SequenceMatcher
Returns the ith element
get(String) Expressions.CompositeValue
get() Expressions.SimpleExpression
get() Expressions.SimpleValue
get() Value
The Java object representing the value of the expression.
get(int) Experiments
get(int) Features
get(String) Embedding
get(String) AnnotatorPool
Retrieve an Annotator from the pool.
get(String) Env
get(String) Dictionary
get(int) MemoryTreebank
Get a tree by index from the Treebank.
get(Class<? extends TypesafeMap.Key<VALUE>>) ArrayCoreMap
Returns the value associated with the given key or null if
none is provided.
get(Object) ArrayMap
get(Object) CacheMap
get(Object) CollectionValuedMap
get(int) ConcurrentHashIndex
get(U, U) ConfusionMatrix
Retrieves the number of entries with this guess and gold.
get(Object) DeltaCollectionValuedMap
get(int) DeltaIndex
get(Object) DeltaMap
This may cost twice what it would in the original Map.
get(int) HashIndex
Gets the object whose index is the integer argument.
get(int) Index
Gets the object whose index is the integer argument.
get(int) IntTuple
get() Lazy
get(U, int) MapList
get(int) PaddedList
get(Properties, String, E, Type) PropertiesUtils
Get the value of a property and automatically cast it to a specific type.
get(K1, K2, K3) ThreeDimensionalMap
get(K1, K2) ThreeDimensionalMap
get(K1) ThreeDimensionalMap
get(K1, K2) TwoDimensionalCollectionValuedMap
get(K1, K2) TwoDimensionalMap
get(K1) TwoDimensionalMap
get(Class<? extends TypesafeMap.Key<VALUE>>) TypesafeMap
Returns the value associated with the given key or null if
none is provided.
get1GramRank(String) GoogleNGramsSQLBacked
GET_ANNOTATION_TAG_FUNCTION ValueFunctions
GET_VALUE_TAG_FUNCTION ValueFunctions
getAccCoverage() MultiClassAccuracyStats
getAccuracy() MultiClassPrecisionRecallExtendedStats
getAccuracyDescription(int) MultiClassPrecisionRecallExtendedStats
Returns a String summarizing overall accuracy that will print nicely.
getAccuracyInfo() MultiClassPrecisionRecallExtendedStats
Return overall per token accuracy
getAcl(String) UniversalEnglishGrammaticalRelations
The "acl" grammatical relation.
getAcls() UniversalEnglishGrammaticalRelations
getAction() SequencePattern
getActiveTreebanks() FilePanel
Returns all treebanks corresponding to the files stored in the panel that
are selected
getAdaptationPrior(double[], LogPrior) LogPrior
getAdvcl(String) UniversalEnglishGrammaticalRelations
The "advcl" grammatical relation.
getAdvcls() UniversalEnglishGrammaticalRelations
getAfter() CoreNLPProtos.Token.Builder
optional string after = 6;
getAfter() CoreNLPProtos.Token
optional string after = 6;
getAfter() CoreNLPProtos.TokenOrBuilder
optional string after = 6;
getAfterBytes() CoreNLPProtos.Token.Builder
optional string after = 6;
getAfterBytes() CoreNLPProtos.Token
optional string after = 6;
getAfterBytes() CoreNLPProtos.TokenOrBuilder
optional string after = 6;
getAggregator(Map<Class, CoreMapAttributeAggregator>) CoreMapAggregator
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class) CoreMapAggregator
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) CoreMapAggregator
getAggregator(String) CoreMapAttributeAggregator
getAlignments() ApproxMatch
getAll(Map<T, V>, Collection<T>) CollectionUtils
Get all values corresponding to the indices (if they exist in the map).
getAll(Map<T, V>, Collection<T>) Maps
get all values corresponding to the indices (if they exist in the map)
getAllEdges() DirectedMultiGraph
getAllEdges() Graph
getAllEdges(IndexedWord, IndexedWord) SemanticGraph
getAllEntityMentions() AceDocument
getAllEventMentions() AceDocument
getAllFiles(String) GetPatternsFromDataMultiClass
getAllHighestScoringTreesTest(List<Tree>) DVParserCostAndGradient
getAllHolidays(Holidays, Set<Holiday>) JollyDayHolidays
getAllHolidays(Configuration, Set<Holiday>) JollyDayHolidays
getAllHolidays(Configuration) JollyDayHolidays
getAllHolidaysCVMap(Set<Holiday>) JollyDayHolidays
getAllHolidaysCVMap(Configuration) JollyDayHolidays
getAllHolidaysMap(Set<Holiday>) JollyDayHolidays
getAllHolidaysMap(Configuration) JollyDayHolidays
getAllNodesByPartOfSpeechPattern(String) SemanticGraph
getAllNodesByWordPattern(String) SemanticGraph
Returns all nodes of type
IndexedWord in this
SemanticGraph having the given word or
regex, or returns empty list if no such found.
getAllOptions() ConstantsAndVariables
getAllOptions() GetPatternsFromDataMultiClass
getAllPatterns(Map<String, DataInstance>, Properties, ConstantsAndVariables.PatternForEachTokenWay) CreatePatterns
creates all patterns and saves them in the correct PatternsForEachToken* class appropriately
getAllRelationMentions() AceDocument
getAllRelations(RelationMentionFactory, CoreMap, boolean) AnnotationUtils
Get list of all relations and non-relations between EntityMentions in this sentence
Use with care.
getAllTranslations(String) ChineseEnglishWordMap
getAllUnrelatedRelations(RelationMentionFactory, CoreMap, boolean) AnnotationUtils
getAllVertices() DirectedMultiGraph
getAllVertices() Graph
getAlternateForms() PhraseTable.Phrase
getAlternativeDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAltTag() MorphoFeatures
An alternate tag form than the one produced by getTag().
getAltValue() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
getAltValue() CoreNLPProtos.Timex
optional string altValue = 2;
getAltValue() CoreNLPProtos.TimexOrBuilder
optional string altValue = 2;
getAltValueBytes() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
getAltValueBytes() CoreNLPProtos.Timex
optional string altValue = 2;
getAltValueBytes() CoreNLPProtos.TimexOrBuilder
optional string altValue = 2;
getAmbClass(String) Dictionary
getAnaphoricityExamples(List<DocumentExamples>) PairwiseModelTrainer
getAnchor() AceEventMention
getAnchor() EventMention
getAnimacy() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
getAnimacy() CoreNLPProtos.CorefChain.CorefMention
optional string animacy = 5;
getAnimacy() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string animacy = 5;
getAnimacy() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
getAnimacy() CoreNLPProtos.Mention
optional string animacy = 5;
getAnimacy() CoreNLPProtos.MentionOrBuilder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.CorefChain.CorefMention
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.Mention
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.MentionOrBuilder
optional string animacy = 5;
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) LexicalizedParser
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) TreeAnnotatorAndBinarizer
getAnnotatedChunk(List<CoreLabel>, int, int, int) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + totalTokenOffset
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + totalTokenOffset
getAnnotatedChunk(List<CoreLabel>, int, int, int, Class, Class, Class) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + totalTokenOffset
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + totalTokenOffset
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunk(CoreMap, int, int) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunk(CoreMap, int, int, Class, Class) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunks(List<CoreLabel>, int, Class, Class) LabeledChunkIdentifier
Find and annotate chunks.
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Function<Pair<CoreLabel, CoreLabel>, Boolean>) LabeledChunkIdentifier
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class) LabeledChunkIdentifier
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class, Function<Pair<CoreLabel, CoreLabel>, Boolean>) LabeledChunkIdentifier
Find and annotate chunks.
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>) ChunkAnnotationUtils
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>, boolean, Class, Class, boolean) ChunkAnnotationUtils
Create a list of new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) ChunkAnnotationUtils
getAnnotatedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotation() CoNLL2011DocumentReader.Document
getAnnotation() CoNLLDocumentReader.CoNLLDocument
getAnnotation() MatchedExpression
getAnnotationPatterns() ComplexNodePattern
getAnnotations(StanfordCoreNLP, SentimentPipeline.Input, String, boolean) SentimentPipeline
Reads an annotation from the given filename using the requested input.
getAnnotationString(Tree, Tree) TregexPoweredTreebankParserParams
Build a string of annotations for the given tree.
getAnnotatorImplementations() StanfordCoreNLP
Get the implementation of each relevant annotator in the pipeline.
getAnswer() CoreNLPProtos.Token.Builder
optional string answer = 24;
getAnswer() CoreNLPProtos.Token
optional string answer = 24;
getAnswer() CoreNLPProtos.TokenOrBuilder
optional string answer = 24;
getAnswerBytes() CoreNLPProtos.Token.Builder
optional string answer = 24;
getAnswerBytes() CoreNLPProtos.Token
optional string answer = 24;
getAnswerBytes() CoreNLPProtos.TokenOrBuilder
optional string answer = 24;
getAnswerClass() ConstantsAndVariables
getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) PlainTextDocumentReaderAndWriter
getAntecedentType(Properties, String) CorefProperties
getAntecedentTypeStr(Properties, String) CorefProperties
getAppositions(int) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
getAppositions(int) CoreNLPProtos.Mention
repeated int32 appositions = 54;
getAppositions(int) CoreNLPProtos.MentionOrBuilder
repeated int32 appositions = 54;
getAppositionsCount() CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
getAppositionsCount() CoreNLPProtos.Mention
repeated int32 appositions = 54;
getAppositionsCount() CoreNLPProtos.MentionOrBuilder
repeated int32 appositions = 54;
getAppositionsList() CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
getAppositionsList() CoreNLPProtos.Mention
repeated int32 appositions = 54;
getAppositionsList() CoreNLPProtos.MentionOrBuilder
repeated int32 appositions = 54;
getArc(Object, Object) TransducerGraph
Slow implementation.
getArcBySourceAndInput(Object, Object) TransducerGraph
Can only be one because automaton is deterministic.
getArch() TaggerConfig
getArcs() TransducerGraph
getArcsByInput(Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsBySource(Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsByTarget(Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsByTargetAndInput(Object, Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArg(String) AceEventMention
getArg(int) AceRelationMention
getArg(int) RelationMention
getArg(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArg(int) CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArg(int) CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgBuilder(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgBuilderList() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgName(int) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgName(int) CoreNLPProtos.Relation
repeated string argName = 6;
getArgName(int) CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNameBytes(int) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgNameBytes(int) CoreNLPProtos.Relation
repeated string argName = 6;
getArgNameBytes(int) CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNameCount() CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgNameCount() CoreNLPProtos.Relation
repeated string argName = 6;
getArgNameCount() CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNameList() CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgNameList() CoreNLPProtos.Relation
repeated string argName = 6;
getArgNameList() CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNames() RelationMention
getArgOrBuilder(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilder(int) CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilder(int) CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgs() AceEventMention
getArgs() AceRelationMention
getArgs() RelationMention
getArrayComparator() Comparators
getAssumedTruth() CoreNLPProtos.SentenceFragment.Builder
optional bool assumedTruth = 3;
getAssumedTruth() CoreNLPProtos.SentenceFragment
optional bool assumedTruth = 3;
getAssumedTruth() CoreNLPProtos.SentenceFragmentOrBuilder
optional bool assumedTruth = 3;
getAttr(String) LatticeEdge
getAttribute(Element, String) XMLUtils
getAttribute(Node, String) XMLUtils
getAttributes() Expressions.CompositeValue
getAttributeValue(Node, String) DomReader
Fetches the value of a given attribute
getAttributeValue(Node, String) XMLUtils
getAuxReader() MachineReading
getb1() Classifier
getBaseName(String) StringUtils
Strip directory from filename.
getBaseName(String, String) StringUtils
Strip directory and suffix from filename.
getBaseTag(int, TreebankLanguagePack) BaseLexicon
getBasicCategoryFunction() AbstractTreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory() method.
getBasicCategoryFunction() TreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory method.
getBasicDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBatch(int) AbstractStochasticCachingDiffFunction
getBatch is used to generate the next sequence of indices to be passed to the actual function.
getBeamPrintingOption() StanfordCoreNLP
getBeamSize() CharniakParser
getBefore() CoreNLPProtos.Token.Builder
optional string before = 5;
getBefore() CoreNLPProtos.Token
optional string before = 5;
getBefore() CoreNLPProtos.TokenOrBuilder
optional string before = 5;
getBeforeBytes() CoreNLPProtos.Token.Builder
optional string before = 5;
getBeforeBytes() CoreNLPProtos.Token
optional string before = 5;
getBeforeBytes() CoreNLPProtos.TokenOrBuilder
optional string before = 5;
getBegin() Match
getBegin() CoreNLPProtos.Quote.Builder
optional uint32 begin = 2;
getBegin() CoreNLPProtos.Quote
optional uint32 begin = 2;
getBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 begin = 2;
getBegin() CoreNLPProtos.Span.Builder
required uint32 begin = 1;
getBegin() CoreNLPProtos.Span
required uint32 begin = 1;
getBegin() CoreNLPProtos.SpanOrBuilder
required uint32 begin = 1;
getBegin() Interval
Returns the start point.
getBeginChar() CoreNLPProtos.Token.Builder
optional uint32 beginChar = 11;
getBeginChar() CoreNLPProtos.Token
optional uint32 beginChar = 11;
getBeginChar() CoreNLPProtos.TokenOrBuilder
optional uint32 beginChar = 11;
getBeginIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 beginIndex = 6;
getBeginIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 beginIndex = 6;
getBeginIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 beginIndex = 6;
getBeginIndex() CoreNLPProtos.Token.Builder
optional uint32 beginIndex = 15;
getBeginIndex() CoreNLPProtos.Token
optional uint32 beginIndex = 15;
getBeginIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 beginIndex = 15;
getBeginPoint() CoreNLPProtos.Timex.Builder
optional uint32 beginPoint = 6;
getBeginPoint() CoreNLPProtos.Timex
optional uint32 beginPoint = 6;
getBeginPoint() CoreNLPProtos.TimexOrBuilder
optional uint32 beginPoint = 6;
getBelongToLists(int) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
getBelongToLists(int) CoreNLPProtos.Mention
repeated int32 belongToLists = 58;
getBelongToLists(int) CoreNLPProtos.MentionOrBuilder
repeated int32 belongToLists = 58;
getBelongToListsCount() CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
getBelongToListsCount() CoreNLPProtos.Mention
repeated int32 belongToLists = 58;
getBelongToListsCount() CoreNLPProtos.MentionOrBuilder
repeated int32 belongToLists = 58;
getBelongToListsList() CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
getBelongToListsList() CoreNLPProtos.Mention
repeated int32 belongToLists = 58;
getBelongToListsList() CoreNLPProtos.MentionOrBuilder
repeated int32 belongToLists = 58;
getBest() QNMinimizer.Record
getBestBinarizedParse() ShiftReduceParserQuery
getBestDependencyParse(boolean) ParserQuery
getBestDependencyParse() LexicalizedParserQuery
getBestDependencyParse(boolean) LexicalizedParserQuery
getBestDependencyParse(boolean) RerankingParserQuery
getBestDependencyParse(boolean) ShiftReduceParserQuery
getBestFactoredParse() ParserQuery
getBestFactoredParse() LexicalizedParserQuery
getBestFactoredParse() RerankingParserQuery
getBestFactoredParse() ShiftReduceParserQuery
getBestMatched(List<T>, Function<MatchedExpression, Double>) MatchedExpression
getBestParse(List<? extends HasWord>) CharniakParser
getBestParse() ParserQuery
getBestParse() BiLexPCFGParser
Return the best parse of the sentence most recently parsed.
getBestParse() ExhaustiveDependencyParser
Return the best dependency parse for a sentence.
getBestParse() ExhaustivePCFGParser
getBestParse() FastFactoredParser
Return the best parse of the sentence most recently parsed.
getBestParse() LexicalizedParserQuery
Return the best parse of the sentence most recently parsed.
getBestParse() RerankingParserQuery
getBestParse() ShiftReduceParserQuery
getBestParse() ViterbiParser
Returns a best parse of the last sentence on which parse was
called, or null if none exists.
getBestParses() KBestViterbiParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() BiLexPCFGParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() ExhaustiveDependencyParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() ExhaustivePCFGParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() FastFactoredParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestPCFGParse() ParserQuery
getBestPCFGParse() LexicalizedParserQuery
getBestPCFGParse(boolean) LexicalizedParserQuery
getBestPCFGParse() RerankingParserQuery
getBestPCFGParse() ShiftReduceParserQuery
TODO: can we get away with not calling this PCFG?
getBestPCFGParses() ParserQuery
getBestPCFGParses() LexicalizedParserQuery
getBestPCFGParses() RerankingParserQuery
getBestPCFGParses() ShiftReduceParserQuery
TODO: if this is a beam, return all equal parses
getBestScore() KBestViterbiParser
Gets the score (typically a log probability) of the best
parse of a sentence.
getBestScore() BiLexPCFGParser
getBestScore() ExhaustiveDependencyParser
getBestScore() ExhaustivePCFGParser
getBestScore(String) ExhaustivePCFGParser
getBestScore() FastFactoredParser
getBestScoredParse(List<? extends HasWord>) CharniakParser
getBestTransitionSequence() ShiftReduceParserQuery
getBiasedDataset(ObjectBank<List<IN>>, Index<String>, Index<String>) CMMClassifier
getBinarizedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinaryClassification(String, String) SentimentModel
getBinaryTensor(String, String) SentimentModel
getBinaryTransform(String, String) SentimentModel
getBlock(Object) FastExactAutomatonMinimizer
getBool(Properties, String) PropertiesUtils
Load a boolean property.
getBool(Properties, String, boolean) PropertiesUtils
Load a boolean property.
getBooleanArrayComparator() Comparators
getBoundaryCharacter() IOBUtils
getBuffer(int) Configuration
Get the sentence index of the kth word on the buffer.
getBufferedFileReader(String) IOUtils
getBufferedReader(Reader) DocumentReader
Wraps the given Reader in a BufferedReader or returns it directly if it
is already a BufferedReader.
getBufferedReaderFromClasspathOrFileSystem(String) IOUtils
getBufferSize() Configuration
getByteEnd() AceCharSeq
getByteEnd() AceToken
getByteOffset() AceCharSeq
getByteOffset() AceToken
getByteStart() AceCharSeq
getByteStart() AceToken
getBZip2PipedInputStream(String) IOUtils
getBZip2PipedOutputStream(String) IOUtils
getC() SVMLightClassifierFactory
Get the C parameter (for the slack variables) for training the SVM.
getCalibratedCliqueTree(int[][][], List<Index<CRFLabel>>, int, Index<E>, E, CliquePotentialFunction, double[][][]) CRFCliqueTree
getCalibratedCliqueTree(double[], double, int[][], int[][][], List<Index<CRFLabel>>, int, Index<E>, E) CRFCliqueTree
This function assumes a LinearCliquePotentialFunction is used for wrapping the weights
getCalibratedCliqueTree(float[][], int[][][], List<Index<CRFLabel>>, int) CRFLogConditionalObjectiveFloatFunction
getCase() AceToken
getCategory() CoreNLPProtos.Token.Builder
optional string category = 4;
getCategory() CoreNLPProtos.Token
optional string category = 4;
getCategory() CoreNLPProtos.TokenOrBuilder
optional string category = 4;
getCategoryAndFunctionFunction() AbstractTreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction() method.
getCategoryAndFunctionFunction() TreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction method.
getCategoryBytes() CoreNLPProtos.Token.Builder
optional string category = 4;
getCategoryBytes() CoreNLPProtos.Token
optional string category = 4;
getCategoryBytes() CoreNLPProtos.TokenOrBuilder
optional string category = 4;
getChainID() CorefChain
getChainID() CorefChain
getChainID() CoreNLPProtos.CorefChain.Builder
required int32 chainID = 1;
getChainID() CoreNLPProtos.CorefChain
required int32 chainID = 1;
getChainID() CoreNLPProtos.CorefChainOrBuilder
required int32 chainID = 1;
getCharacter(char) Characters
getCharacterNgrams(String, int, int) StringUtils
Build a list of character-based ngrams from the given string.
getCharacterOffsetBegin() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetBegin = 5;
getCharacterOffsetBegin() CoreNLPProtos.Sentence
optional uint32 characterOffsetBegin = 5;
getCharacterOffsetBegin() CoreNLPProtos.SentenceOrBuilder
optional uint32 characterOffsetBegin = 5;
getCharacterOffsetEnd() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetEnd = 6;
getCharacterOffsetEnd() CoreNLPProtos.Sentence
optional uint32 characterOffsetEnd = 6;
getCharacterOffsetEnd() CoreNLPProtos.SentenceOrBuilder
optional uint32 characterOffsetEnd = 6;
getCharOffsets() MatchedExpression
getChars(char) RadicalMap
What are the Characters with this primary radical?
getChild(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) Tree
Return the child at some daughter index.
getChild(Object, int) FileTreeModel
getChildBuilder(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildBuilderList() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildByAttribute(Node, String, String) DomReader
Searches for children that have the given attribute
getChildByName(Node, String) DomReader
Searches (recursively) for the first child that has the given name
getChildByNameAndAttribute(Node, String, String, String) DomReader
Searches for children that have the given name and attribute
getChildCount() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount() CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount() CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount(Object) FileTreeModel
getChildList() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList() CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList() CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList(IndexedWord) SemanticGraph
getChildOrBuilder(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilder(int) CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilder(int) CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildren(V) DirectedMultiGraph
getChildren(V) Graph
for undirected graph, it is just the neighbors
getChildren() TrieMap
getChildren(IndexedWord) SemanticGraph
getChildren() CoordinationPattern
getChildren() NodePattern
getChildrenAsList() Tree
Returns a List of children for the current node.
getChildrenByName(Node, String) DomReader
Searches for all immediate children with the given name
getChildrenWithPrepC(SemanticGraph, IndexedWord) SemanticGraphUtils
Since graphs can be have preps collapsed, finds all the immediate children of this node
that are linked by a collapsed preposition edge.
getChildrenWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns a set of all children bearing a certain grammatical relation, or
an empty set if none.
getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, String) SemanticGraphUtils
Returns a list of all children bearing a grammatical relation starting with the given string, relnPrefix
getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, Collection<String>) SemanticGraphUtils
Returns a list of all children bearing a grammatical relation starting with the given set of relation prefixes
getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) SemanticGraph
Returns a set of all children bearing one of a set of grammatical
relations, or an empty set if none.
getChildTrie(K) TrieMap
getChildTrie(Iterable<K>) TrieMap
getChildWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns the first IndexedFeatureLabel bearing a certain grammatical
relation, or null if none.
getChunk() AceToken
getChunker() MultiClassChunkEvalStats
getChunkOffsets() MatchedExpression
getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) ChunkAnnotationUtils
Return chunk offsets
getClass(String, Dictionary, int, TTags) AmbiguityClasses
getClassifier(String, Properties) ClassifierCombiner
getClassifier(ObjectInputStream, Properties) ClassifierCombiner
getClassifier(File) CRFClassifier
Loads a CRF classifier from a filepath, and returns it.
getClassifier(InputStream) CRFClassifier
Loads a CRF classifier from an InputStream, and returns it.
getClassifier(ObjectInputStream) CRFClassifier
getClassifier(String) CRFClassifier
getClassifier(String, Properties) CRFClassifier
getClassifier(ObjectInputStream, Properties) CRFClassifier
getClassifier(File) CMMClassifier
getClassifier(String) CMMClassifier
getClassifier(ObjectInputStream) CMMClassifier
getClassifier(ObjectInputStream, Properties) CMMClassifier
getClassifier(InputStream) CMMClassifier
getClassifier(String, Properties) NERClassifierCombiner
getClassifier(ObjectInputStream, Properties) NERClassifierCombiner
getClassifier() PairwiseModel
getClassifierCreator(GeneralDataset<L, F>) LinearClassifierFactory
getClassifierNoExceptions(String) CRFClassifier
getClassifierNoExceptions(File) CMMClassifier
getClassifierNoExceptions(String) CMMClassifier
getClassifierNoExceptions(InputStream) CMMClassifier
getClassifierType(Properties, String) CorefProperties
getClasss() AceEntity
getClassWeight(int) RNNTrainOptions
The classWeights can be passed in as a comma separated list of
weights using the -classWeights flag.
getClassWForNode(Tree) SentimentModel
getCliqueFeatures(PaddedList<IN>, int, Clique) NERFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) ArabicSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) FeatureFactory
This method returns a
Collection of the features
calculated for the word at the specified position in info (the list of
words) for the specified
Clique.
getCliqueFeatures(PaddedList<IN>, int, Clique) ChineseSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) Gale2007ChineseSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliquePotentialFunction(double[]) CRFLogConditionalObjectiveFloatFunction
getCliquePotentialFunction(double[]) CRFLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) CRFLogConditionalObjectiveFunctionForLOP
getCliquePotentialFunction(double[]) CRFNonLinearLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) HasCliquePotentialFunction
getCliquePotentialFunctionForTest() CRFClassifier
getCliquePotentialFunctionForTest() CRFClassifierNonlinear
getCliques() FeatureFactory
getCliques(int, int) FeatureFactory
getCliqueTree(Triple<int[][][], int[], double[][][]>) CRFClassifier
getCliqueTree(List<IN>) CRFClassifier
getCliqueTrees(String, DocumentReaderAndWriter<IN>) CRFClassifier
Want to make arbitrary probability queries? Then this is the method for
you.
getClosedClassTags() TaggerConfig
getClosedTagThreshold() TaggerConfig
getClusterID() CorefCluster
getClusterID() CorefCluster
getClusterMerges(ClustererDataLoader.ClustererDoc) Clusterer
getCmd() CRFClassifierEvaluator
getCmd() CmdEvaluator
getCmd(String) CmdEvaluator
getCoarseTag() CoreNLPProtos.Token.Builder
optional string coarseTag = 33;
getCoarseTag() CoreNLPProtos.Token
optional string coarseTag = 33;
getCoarseTag() CoreNLPProtos.TokenOrBuilder
optional string coarseTag = 33;
getCoarseTagBytes() CoreNLPProtos.Token.Builder
optional string coarseTag = 33;
getCoarseTagBytes() CoreNLPProtos.Token
optional string coarseTag = 33;
getCoarseTagBytes() CoreNLPProtos.TokenOrBuilder
optional string coarseTag = 33;
getCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollectionValuedMap(K1) TwoDimensionalCollectionValuedMap
getCombinedF1(double, List<List<Integer>>, List<Clusterer.Cluster>, Map<Integer, List<Integer>>, Map<Integer, Clusterer.Cluster>) EvalUtils
getComments() SemanticGraph
Return the list of comments stored with this graph.
getCommonAncestor(IndexedWord, IndexedWord) SemanticGraph
Returns the least common ancestor.
getCommonEngWords() ConstantsAndVariables
getCompatible(SUTime.PartialTime, SUTime.PartialTime) SUTime.PartialTime
getConditionalDistribution(int[], int) CRFCliqueTree
Computes the distribution over values of the element at position pos in the
sequence, conditioned on the values of the elements in all other positions
of the provided sequence.
getConditionalDistribution(int[], int) EntityCachingAbstractSequencePriorBIO
getCondProbs(CRFCliqueTree, int[][][]) CRFLogConditionalObjectiveFunction
getConfidence() CoreNLPProtos.OpenIETriple.Builder
optional double confidence = 4;
getConfidence() CoreNLPProtos.OpenIETriple
optional double confidence = 4;
getConfidence() CoreNLPProtos.OpenIETripleOrBuilder
optional double confidence = 4;
getConfiguration() JollyDayHolidays.MyXMLManager
getConj(String) EnglishGrammaticalRelations
The "conj" grammatical relation.
getConj(String) UniversalEnglishGrammaticalRelations
The "conj" grammatical relation.
getConjs() EnglishGrammaticalRelations
getConjs() UniversalEnglishGrammaticalRelations
getConllEvalString() MultiClassChunkEvalStats
getConllEvalString() MultiClassPrecisionRecallExtendedStats
getConllEvalString(boolean) MultiClassPrecisionRecallExtendedStats
getConllEvalSummary(String, String, String) SieveCoreferenceSystem
getConllUFeatures() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeatures() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeatures() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUMisc() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
getConllUMisc() CoreNLPProtos.Token
optional string conllUMisc = 35;
getConllUMisc() CoreNLPProtos.TokenOrBuilder
optional string conllUMisc = 35;
getConllUMiscBytes() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
getConllUMiscBytes() CoreNLPProtos.Token
optional string conllUMisc = 35;
getConllUMiscBytes() CoreNLPProtos.TokenOrBuilder
optional string conllUMisc = 35;
getConllUSecondaryDeps() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUSecondaryDeps() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUSecondaryDeps() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUSecondaryDepsBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapIntString conllUSecondaryDeps = 36;
getConllUTokenSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpan() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpan() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConnectedComponents(Graph<V, E>) ConnectedComponents
getConnectedComponents() DirectedMultiGraph
getConnectedComponents() Graph
getConnection() SQLConnection
getConstituentTreePrinter() StanfordCoreNLP
getConstrainedSet(String) LabelDictionary
Get the allowed label set for an observation.
getConstraints() ExhaustivePCFGParser
getConstraints() Lattice
getContent() AceMentionArgument
getContentType(Properties, StanfordCoreNLP.OutputFormat) StanfordCoreNLPServer.CoreNLPHandler
Get the response data type to send to the client, based off of the output format requested from
CoreNLP.
getContext() Mention
getContext() Mention
getContext(DataInstance, int, Set<CandidatePhrase>) DepPatternFactory
getContext(PatternFactory.PatternType, DataInstance, int, Set<CandidatePhrase>) Pattern
Get set of patterns around this token.
getContext(List<CoreLabel>, int, Set<CandidatePhrase>) SurfacePatternFactory
getContextStr(String) SurfacePattern
getContextToken(CoreLabel) SurfacePattern
getContingency(U) ConfusionMatrix
Returns the contingency table for the given class label, where all other
class labels are treated as negative.
getCoordination() Mention
getCoordination() Mention
getCopy(Counter<E>) Counters
getCopy() IntPair
getCopy() IntQuadruple
getCopy() IntTriple
getCopy() IntTuple
getCopy() IntUni
getCopyAnnotation() CoreNLPProtos.DependencyGraph.Node.Builder
optional uint32 copyAnnotation = 3;
getCopyAnnotation() CoreNLPProtos.DependencyGraph.Node
optional uint32 copyAnnotation = 3;
getCopyAnnotation() CoreNLPProtos.DependencyGraph.NodeOrBuilder
optional uint32 copyAnnotation = 3;
getCopyCount() CoreNLPProtos.IndexedWord.Builder
optional uint32 copyCount = 4;
getCopyCount() CoreNLPProtos.IndexedWord
optional uint32 copyCount = 4;
getCopyCount() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 copyCount = 4;
getCorefChain(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChain(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChain(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainMap() CoNLL2011DocumentReader.Document
getCorefChainMap() CoNLLDocumentReader.CoNLLDocument
getCorefChainOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefClusterId() SpeakerInfo
getCorefClusterId() SpeakerInfo
getCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 corefClusterID = 15;
getCorefClusterID() CoreNLPProtos.Mention
optional int32 corefClusterID = 15;
getCorefClusterID() CoreNLPProtos.MentionOrBuilder
optional int32 corefClusterID = 15;
getCorefClusterID() CoreNLPProtos.Token.Builder
optional uint32 corefClusterID = 23;
getCorefClusterID() CoreNLPProtos.Token
optional uint32 corefClusterID = 23;
getCorefClusterID() CoreNLPProtos.TokenOrBuilder
optional uint32 corefClusterID = 23;
getCorefID() EntityMention
getCorefID() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
getCorefID() CoreNLPProtos.Entity
optional string corefID = 11;
getCorefID() CoreNLPProtos.EntityOrBuilder
optional string corefID = 11;
getCorefIDBytes() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
getCorefIDBytes() CoreNLPProtos.Entity
optional string corefID = 11;
getCorefIDBytes() CoreNLPProtos.EntityOrBuilder
optional string corefID = 11;
getCorefMentions() CorefCluster
getCorefMentions() CorefCluster
getCoreKey(String) AnnotationLookup
Returns a CoreAnnotation class key for the given old-style FeatureLabel
key if one exists; null otherwise.
getCoreLabel(Tree) FeatureFactory
getCoreLabels() Configuration
getCoreMapQuotes(List<Pair<Integer, Integer>>, List<CoreLabel>, List<CoreMap>, String, String) QuoteAnnotator
getCorrect() MultiClassPrecisionRecallExtendedStats
Return overall number of correct answers
getCorrect(L) MultiClassPrecisionRecallExtendedStats
getCost() ApproxMatch
getCost(V) BoundedCostOrderedMap
getCost() Classifier.Cost
getCount(int) StringDictionary
getCount(Object) ClassicCounter
Returns the count for this key as a double.
getCount(Object) Counter
Returns the count for this key as a double.
getCount(E) Distribution
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
getCount(Object) GeneralizedCounter
getCount(K, K) GeneralizedCounter
getCount(K, K, K) GeneralizedCounter
getCount(Object) IntCounter
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
getCount(K1, K2) TwoDimensionalCounter
getCount(K1, K2) TwoDimensionalCounterInterface
getCount(K1, K2) TwoDimensionalIntCounter
getCount(String, String) Dictionary
getCount(String) GoogleNGramsSQLBacked
Queries the SQL tables for the count of the phrase.
getCountAsString(E) IntCounter
getCountCounts(Counter<E>) Counters
getCounter() Distribution
getCounter(K1) TwoDimensionalCounter
getCounter(K1) TwoDimensionalCounterInterface
getCounter(K1) TwoDimensionalIntCounter
getCountIn() CountWrapper
getCountIn(String) Dictionary
getCountPart() CountWrapper
getCountPart(String) Dictionary
getCountRB() CountWrapper
getCountRB(String) Dictionary
getCounts(Counter<E>, Collection<E>) Counters
getCounts(List<K>) GeneralizedCounter
returns a double[] array of length
depth+1, containing the conditional counts on a
depth-length list given each level of conditional
distribution from 0 to depth.
getCounts(Collection<String>) GoogleNGramsSQLBacked
getCountThat() CountWrapper
getCountThat(String) Dictionary
getCurEncoding() FileTreeModel
getCurrentFilename() DiskTreebank
Returns the absolute path of the file currently being read.
getCurrentPaths() DiskTreebank
getCurrentSieveForTrain(Properties) CorefProperties
getCurrentTime() SUTime
getCurWordMinFeatureThresh() TaggerConfig
getCustom() Match
getData() PhraseTable.Phrase
getDataArray() GeneralDataset
getDataInputStream(String) IOUtils
getDataOutputStream(String) IOUtils
getDataset(Collection<List<IN>>) CMMClassifier
Build a Dataset from some data.
getDataset(Collection<List<IN>>, Index<String>, Index<String>) CMMClassifier
Build a Dataset from some data.
getDataset(ObjectBank<List<IN>>, Dataset<String, String>) CMMClassifier
Build a Dataset from some data.
getDataset(Dataset<String, String>, Index<String>) CMMClassifier
Build a Dataset from some data.
getDatasets() MachineReading
getDate() Timex
Gets the Calendar matching the year, month and day of this Timex.
getDateString() ISODateInstance
Provided for backwards compatibility with DateInstance;
returns the same thing as toString()
getDateTimeFields() SUTime.Duration
getDatum(int) Dataset
getDatum(int) GeneralDataset
getDatum(int) RVFDataset
getDay() SUTime.IsoDate
getDebug() TaggerConfig
getDebugPrefix() TaggerConfig
getDeepTrees() DVModelReranker.Query
getDefaultAggregator() CoreMapAggregator
getDefaultAggregators() CoreMapAttributeAggregator
getDefaultAnnotatorPool(Properties, AnnotatorImplementations) StanfordCoreNLP
Construct the default annotator pool from the passed properties, and overwriting annotations which have changed
since the last
getDefaultClassifier() CRFClassifier
Used to get the default supplied classifier inside the jar file.
getDefaultClassifier(Properties) CRFClassifier
Used to get the default supplied classifier inside the jar file.
getDefaultClassifier() CMMClassifier
Used to obtain the default classifier which is
stored inside a jar file.
getDefaultColor() ScrollableTreeJPanel
getDefaultInstance() CoreNLPProtos.CorefChain.CorefMention
getDefaultInstance() CoreNLPProtos.CorefChain
getDefaultInstance() CoreNLPProtos.DependencyGraph.Edge
getDefaultInstance() CoreNLPProtos.DependencyGraph
getDefaultInstance() CoreNLPProtos.DependencyGraph.Node
getDefaultInstance() CoreNLPProtos.Document
getDefaultInstance() CoreNLPProtos.Entity
getDefaultInstance() CoreNLPProtos.IndexedWord
getDefaultInstance() CoreNLPProtos.MapIntString
getDefaultInstance() CoreNLPProtos.MapStringString
getDefaultInstance() CoreNLPProtos.Mention
getDefaultInstance() CoreNLPProtos.NERMention
getDefaultInstance() CoreNLPProtos.OpenIETriple
getDefaultInstance() CoreNLPProtos.Operator
getDefaultInstance() CoreNLPProtos.ParseTree
getDefaultInstance() CoreNLPProtos.Polarity
getDefaultInstance() CoreNLPProtos.Quote
getDefaultInstance() CoreNLPProtos.Relation
getDefaultInstance() CoreNLPProtos.Sentence
getDefaultInstance() CoreNLPProtos.SentenceFragment
getDefaultInstance() CoreNLPProtos.Span
getDefaultInstance() CoreNLPProtos.SpeakerInfo
getDefaultInstance() CoreNLPProtos.Timex
getDefaultInstance() CoreNLPProtos.Token
getDefaultInstanceForType() CoreNLPProtos.CorefChain.Builder
getDefaultInstanceForType() CoreNLPProtos.CorefChain.CorefMention.Builder
getDefaultInstanceForType() CoreNLPProtos.CorefChain.CorefMention
getDefaultInstanceForType() CoreNLPProtos.CorefChain
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Builder
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Edge.Builder
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Edge
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Node.Builder
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Node
getDefaultInstanceForType() CoreNLPProtos.Document.Builder
getDefaultInstanceForType() CoreNLPProtos.Document
getDefaultInstanceForType() CoreNLPProtos.Entity.Builder
getDefaultInstanceForType() CoreNLPProtos.Entity
getDefaultInstanceForType() CoreNLPProtos.IndexedWord.Builder
getDefaultInstanceForType() CoreNLPProtos.IndexedWord
getDefaultInstanceForType() CoreNLPProtos.MapIntString.Builder
getDefaultInstanceForType() CoreNLPProtos.MapIntString
getDefaultInstanceForType() CoreNLPProtos.MapStringString.Builder
getDefaultInstanceForType() CoreNLPProtos.MapStringString
getDefaultInstanceForType() CoreNLPProtos.Mention.Builder
getDefaultInstanceForType() CoreNLPProtos.Mention
getDefaultInstanceForType() CoreNLPProtos.NERMention.Builder
getDefaultInstanceForType() CoreNLPProtos.NERMention
getDefaultInstanceForType() CoreNLPProtos.OpenIETriple.Builder
getDefaultInstanceForType() CoreNLPProtos.OpenIETriple
getDefaultInstanceForType() CoreNLPProtos.Operator.Builder
getDefaultInstanceForType() CoreNLPProtos.Operator
getDefaultInstanceForType() CoreNLPProtos.ParseTree.Builder
getDefaultInstanceForType() CoreNLPProtos.ParseTree
getDefaultInstanceForType() CoreNLPProtos.Polarity.Builder
getDefaultInstanceForType() CoreNLPProtos.Polarity
getDefaultInstanceForType() CoreNLPProtos.Quote.Builder
getDefaultInstanceForType() CoreNLPProtos.Quote
getDefaultInstanceForType() CoreNLPProtos.Relation.Builder
getDefaultInstanceForType() CoreNLPProtos.Relation
getDefaultInstanceForType() CoreNLPProtos.Sentence.Builder
getDefaultInstanceForType() CoreNLPProtos.Sentence
getDefaultInstanceForType() CoreNLPProtos.SentenceFragment.Builder
getDefaultInstanceForType() CoreNLPProtos.SentenceFragment
getDefaultInstanceForType() CoreNLPProtos.Span.Builder
getDefaultInstanceForType() CoreNLPProtos.Span
getDefaultInstanceForType() CoreNLPProtos.SpeakerInfo.Builder
getDefaultInstanceForType() CoreNLPProtos.SpeakerInfo
getDefaultInstanceForType() CoreNLPProtos.Timex.Builder
getDefaultInstanceForType() CoreNLPProtos.Timex
getDefaultInstanceForType() CoreNLPProtos.Token.Builder
getDefaultInstanceForType() CoreNLPProtos.Token
getDefaultNegTag() LabeledChunkIdentifier
getDefaultNestedResultsAnnotationKey() Env
getDefaultNestedResultsAnnotationKey(Env) EnvLookup
getDefaultOptions() TokenizerAnnotator.TokenizerType
getDefaultOutputPath() PairwiseModel
getDefaultPosTag() LabeledChunkIdentifier
getDefaultResultAnnotationExtractor(Env) EnvLookup
getDefaultResultAnnotationKey() Env
getDefaultResultAnnotationKey(Env) EnvLookup
getDefaultResultsAnnotationExtractor() Env
getDefaults() Env
getDefaultScore() TaggerConfig
Returns a default score to be used for each tag that is incompatible with
the current word (e.g., the tag CC for the word "apple").
getDefaultStringMatchFlags() Env
getDefaultStringPatternFlags() Env
getDefaultTagSeparator() TaggerConfig
getDefaultTextAnnotationKey() Env
getDefaultTextAnnotationKey(Env) EnvLookup
getDefaultTokensAggregator() Env
getDefaultTokensAggregator(Env) EnvLookup
getDefaultTokensAggregators() Env
getDefaultTokensAggregators(Env) EnvLookup
getDefaultTokensAnnotationKey() Env
getDefaultTokensAnnotationKey(Env) EnvLookup
getDefaultTokensResultAnnotationKey() Env
getDefaultTokensResultAnnotationKey(Env) EnvLookup
getDeleteTempFilesOnExitFlag() SVMLightClassifierFactory
getDemonyms(String) Dictionaries
Returns a set of demonyms for a country (or city or region).
getDemonyms(String) Dictionaries
Returns a set of demonyms for a country (or city or region).
getDep() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
getDep() CoreNLPProtos.DependencyGraph.Edge
optional string dep = 3;
getDep() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional string dep = 3;
getDepBytes() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
getDepBytes() CoreNLPProtos.DependencyGraph.Edge
optional string dep = 3;
getDepBytes() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional string dep = 3;
getDependencies(String, String) LexicalizedParserClient
Returns the String output of the dependencies.
getDependencyBlanket(SemanticGraph, Collection<IndexedWord>) SemanticGraphUtils
Given a SemanticGraph, and a set of nodes, finds the "blanket" of nodes that are one
edge away from the set of nodes passed in.
getDependencyParser() ParserQuery
getDependencyParser() LexicalizedParserQuery
getDependencyParser() RerankingParserQuery
getDependencyParser() ShiftReduceParserQuery
getDependencyTreePrinter() StanfordCoreNLP
getDependent() SemanticGraphEdge
getDependentIndex() UnnamedConcreteDependency
getDependents(int) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependents(int) CoreNLPProtos.Mention
repeated string dependents = 52;
getDependents(int) CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependentsBytes(int) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependentsBytes(int) CoreNLPProtos.Mention
repeated string dependents = 52;
getDependentsBytes(int) CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependentsCount() CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependentsCount() CoreNLPProtos.Mention
repeated string dependents = 52;
getDependentsCount() CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependentsList() CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependentsList() CoreNLPProtos.Mention
repeated string dependents = 52;
getDependentsList() CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependingVerb() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerb() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerb() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDerivative() AbstractCachingDiffFunction
getDerivatives() LambdaSolve
assuming we have the lambdas in the array and we need only the
derivatives now.
getDerivativesExpectedValue() LambdaSolve
assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
getDerivativesLossDomination() LambdaSolve
Using the arrays calculated when computing the loss, it should not be
too hard to get the derivatives.
getDerivativesNeg() LambdaSolve
assuming we have the lambdas in the array and we need only the
derivatives now.
getDescription() ExtensionFileFilter
Returns a description of what extension is being used (for file choosers).
getDescription() ValueFunction
Returns a string describing what this function does.
getDescription() ValueFunctions.NamedValueFunction
getDescription(int) AccuracyStats
getDescription(int) MultiClassAccuracyStats
getDescription(int) MultiClassPrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getDescription(int) Scorer
getDescriptor() CoreNLPProtos.CorefChain.Builder
getDescriptor() CoreNLPProtos.CorefChain.CorefMention.Builder
getDescriptor() CoreNLPProtos.CorefChain.CorefMention
getDescriptor() CoreNLPProtos.CorefChain
getDescriptor() CoreNLPProtos.DependencyGraph.Builder
getDescriptor() CoreNLPProtos.DependencyGraph.Edge.Builder
getDescriptor() CoreNLPProtos.DependencyGraph.Edge
getDescriptor() CoreNLPProtos.DependencyGraph
getDescriptor() CoreNLPProtos.DependencyGraph.Node.Builder
getDescriptor() CoreNLPProtos.DependencyGraph.Node
getDescriptor() CoreNLPProtos.Document.Builder
getDescriptor() CoreNLPProtos.Document
getDescriptor() CoreNLPProtos.Entity.Builder
getDescriptor() CoreNLPProtos.Entity
getDescriptor() CoreNLPProtos
getDescriptor() CoreNLPProtos.IndexedWord.Builder
getDescriptor() CoreNLPProtos.IndexedWord
getDescriptor() CoreNLPProtos.Language
getDescriptor() CoreNLPProtos.MapIntString.Builder
getDescriptor() CoreNLPProtos.MapIntString
getDescriptor() CoreNLPProtos.MapStringString.Builder
getDescriptor() CoreNLPProtos.MapStringString
getDescriptor() CoreNLPProtos.Mention.Builder
getDescriptor() CoreNLPProtos.Mention
getDescriptor() CoreNLPProtos.NaturalLogicRelation
getDescriptor() CoreNLPProtos.NERMention.Builder
getDescriptor() CoreNLPProtos.NERMention
getDescriptor() CoreNLPProtos.OpenIETriple.Builder
getDescriptor() CoreNLPProtos.OpenIETriple
getDescriptor() CoreNLPProtos.Operator.Builder
getDescriptor() CoreNLPProtos.Operator
getDescriptor() CoreNLPProtos.ParseTree.Builder
getDescriptor() CoreNLPProtos.ParseTree
getDescriptor() CoreNLPProtos.Polarity.Builder
getDescriptor() CoreNLPProtos.Polarity
getDescriptor() CoreNLPProtos.Quote.Builder
getDescriptor() CoreNLPProtos.Quote
getDescriptor() CoreNLPProtos.Relation.Builder
getDescriptor() CoreNLPProtos.Relation
getDescriptor() CoreNLPProtos.Sentence.Builder
getDescriptor() CoreNLPProtos.Sentence
getDescriptor() CoreNLPProtos.SentenceFragment.Builder
getDescriptor() CoreNLPProtos.SentenceFragment
getDescriptor() CoreNLPProtos.Sentiment
getDescriptor() CoreNLPProtos.Span.Builder
getDescriptor() CoreNLPProtos.Span
getDescriptor() CoreNLPProtos.SpeakerInfo.Builder
getDescriptor() CoreNLPProtos.SpeakerInfo
getDescriptor() CoreNLPProtos.Timex.Builder
getDescriptor() CoreNLPProtos.Timex
getDescriptor() CoreNLPProtos.Token.Builder
getDescriptor() CoreNLPProtos.Token
getDescriptorForType() CoreNLPProtos.CorefChain.Builder
getDescriptorForType() CoreNLPProtos.CorefChain.CorefMention.Builder
getDescriptorForType() CoreNLPProtos.DependencyGraph.Builder
getDescriptorForType() CoreNLPProtos.DependencyGraph.Edge.Builder
getDescriptorForType() CoreNLPProtos.DependencyGraph.Node.Builder
getDescriptorForType() CoreNLPProtos.Document.Builder
getDescriptorForType() CoreNLPProtos.Entity.Builder
getDescriptorForType() CoreNLPProtos.IndexedWord.Builder
getDescriptorForType() CoreNLPProtos.Language
getDescriptorForType() CoreNLPProtos.MapIntString.Builder
getDescriptorForType() CoreNLPProtos.MapStringString.Builder
getDescriptorForType() CoreNLPProtos.Mention.Builder
getDescriptorForType() CoreNLPProtos.NaturalLogicRelation
getDescriptorForType() CoreNLPProtos.NERMention.Builder
getDescriptorForType() CoreNLPProtos.OpenIETriple.Builder
getDescriptorForType() CoreNLPProtos.Operator.Builder
getDescriptorForType() CoreNLPProtos.ParseTree.Builder
getDescriptorForType() CoreNLPProtos.Polarity.Builder
getDescriptorForType() CoreNLPProtos.Quote.Builder
getDescriptorForType() CoreNLPProtos.Relation.Builder
getDescriptorForType() CoreNLPProtos.Sentence.Builder
getDescriptorForType() CoreNLPProtos.SentenceFragment.Builder
getDescriptorForType() CoreNLPProtos.Sentiment
getDescriptorForType() CoreNLPProtos.Span.Builder
getDescriptorForType() CoreNLPProtos.SpeakerInfo.Builder
getDescriptorForType() CoreNLPProtos.Timex.Builder
getDescriptorForType() CoreNLPProtos.Token.Builder
getDiag(String) ScaledSGDMinimizer
getDictOddsScore(CandidatePhrase, String, double) PhraseScorer
getDiffConstituents() TreeFromFile
getDiffDecoratedTree() TreeFromFile
getDisplay() FileTreeNode
getDistribution(Counter<E>) Distribution
Creates a Distribution from the given counter.
getDistributionFromLogValues(Counter<E>) Distribution
Creates a Distribution from the given counter, ie makes an internal
copy of the counter and divides all counts by the total count.
getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) Distribution
Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
getDistributionWithReservedMass(Counter<E>, double) Distribution
getDistSimWtScore(String, String) PhraseScorer
getDocID() CoreNLPProtos.Document.Builder
optional string docID = 4;
getDocID() CoreNLPProtos.Document
optional string docID = 4;
getDocID() CoreNLPProtos.DocumentOrBuilder
optional string docID = 4;
getDocID() CoreNLPProtos.IndexedWord.Builder
optional uint32 docID = 3;
getDocID() CoreNLPProtos.IndexedWord
optional uint32 docID = 3;
getDocID() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 docID = 3;
getDocid() CoreNLPProtos.Quote.Builder
optional string docid = 9;
getDocid() CoreNLPProtos.Quote
optional string docid = 9;
getDocid() CoreNLPProtos.QuoteOrBuilder
optional string docid = 9;
getDocIDBytes() CoreNLPProtos.Document.Builder
optional string docID = 4;
getDocIDBytes() CoreNLPProtos.Document
optional string docID = 4;
getDocIDBytes() CoreNLPProtos.DocumentOrBuilder
optional string docID = 4;
getDocidBytes() CoreNLPProtos.Quote.Builder
optional string docid = 9;
getDocidBytes() CoreNLPProtos.Quote
optional string docid = 9;
getDocidBytes() CoreNLPProtos.QuoteOrBuilder
optional string docid = 9;
getDocumentID() CoNLL2011DocumentReader.Document
getDocumentID() CoNLLDocumentReader.CoNLLDocument
getDocumentId() ExtractionObject
getDomainNgramScore(String) PhraseScorer
getdot() DoubleAD
getDouble(Properties, String) PropertiesUtils
Load a double property.
getDouble(Properties, String, double) PropertiesUtils
Load a double property.
getDoubleArray(Properties, String) PropertiesUtils
Loads a comma-separated list of doubles from Properties.
getDownsamplingRate(Properties, String) CorefProperties
getDuration() JollyDayHolidays.JollyHoliday
getDuration() SUTime.CompositePartialTime
getDuration(ReadablePeriod) SUTime.Duration
getDuration(Duration) SUTime.Duration
getDuration() SUTime.Duration
getDuration() SUTime.ExplicitTemporalSet
getDuration() SUTime.GroundedTime
getDuration() SUTime.InexactTime
getDuration() SUTime.PartialTime
getDuration() SUTime.PeriodicTemporalSet
getDuration() SUTime.Range
getDuration() SUTime.RelativeTime
getDuration() SUTime.StandardTemporalType
getDuration() SUTime.Temporal
getDuration() SUTime.Time
getDuration() SUTime.TimeUnit
getDuration() SUTime.TimeWithRange
getE() Classifier
getEdge(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(IndexedWord, IndexedWord) SemanticGraph
getEdge(IndexedWord, IndexedWord, GrammaticalRelation) SemanticGraph
Given a governor, dependent, and the relation between them, returns the
SemanticGraphEdge object of that arc if it exists, otherwise returns null.
getEdge() NegraLabel
getEdgeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdges(V, V) DirectedMultiGraph
getEdges(V, V) Graph
getEdgesOverSpan(int, int) Lattice
getEdgesSpannedByVertices(Collection<IndexedWord>, SemanticGraph) SemanticGraphUtils
Given a set of nodes from a SemanticGraph, returns the set of
edges that are spanned between these nodes.
getEditDistanceFromEnglishWords() ConstantsAndVariables
getEditDistanceFromEnglishWordsMatches() ConstantsAndVariables
getEditDistanceFromOtherClasses(String, String, int) ConstantsAndVariables
getEditDistanceFromThisClass(String, String, int) ConstantsAndVariables
getEditDistanceScoresOtherClass(String, String) ConstantsAndVariables
getEditDistanceScoresOtherClassThreshold(String, String) ConstantsAndVariables
1 if lies in edit distance, 0 if not close to any words
getEditDistanceScoresThisClass(String, String) ConstantsAndVariables
getEditDistanceScoresThisClassThreshold(String, String) ConstantsAndVariables
getEmbeddingSize() Embedding
getEnableTsurgeon() Preferences
getEncoding() StanfordCoreNLP
getEncoding(Properties) TaggedFileRecord
getEncoding() TaggerConfig
getEncoding() AbstractTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() FrenchTreebankLanguagePack
getEncoding() NegraPennLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() ChineseTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() SpanishTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() TueBaDZLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() TreebankLanguagePack
Return the charset encoding of the Treebank.
getEncoding() Preferences
getEnd() RobustTokenizer.WordToken
getEnd() Match
getEnd() CoreNLPProtos.Quote.Builder
optional uint32 end = 3;
getEnd() CoreNLPProtos.Quote
optional uint32 end = 3;
getEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 end = 3;
getEnd() CoreNLPProtos.Span.Builder
required uint32 end = 2;
getEnd() CoreNLPProtos.Span
required uint32 end = 2;
getEnd() CoreNLPProtos.SpanOrBuilder
required uint32 end = 2;
getEnd() Interval
Returns the end point.
getEndChar() CoreNLPProtos.Token.Builder
optional uint32 endChar = 12;
getEndChar() CoreNLPProtos.Token
optional uint32 endChar = 12;
getEndChar() CoreNLPProtos.TokenOrBuilder
optional uint32 endChar = 12;
getEndDate() ISODateInstance
Returns this date or if it is a range,
the date the range ends.
getEndIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 endIndex = 7;
getEndIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 endIndex = 7;
getEndIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 endIndex = 7;
getEndIndex() CoreNLPProtos.Mention.Builder
optional uint32 endIndex = 9;
getEndIndex() CoreNLPProtos.Mention
optional uint32 endIndex = 9;
getEndIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 endIndex = 9;
getEndIndex() CoreNLPProtos.Token.Builder
optional uint32 endIndex = 16;
getEndIndex() CoreNLPProtos.Token
optional uint32 endIndex = 16;
getEndIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 endIndex = 16;
getEndNodes() TransducerGraph
getEndPoint() CoreNLPProtos.Timex.Builder
optional uint32 endPoint = 7;
getEndPoint() CoreNLPProtos.Timex
optional uint32 endPoint = 7;
getEndPoint() CoreNLPProtos.TimexOrBuilder
optional uint32 endPoint = 7;
getEndWordVector() Embedding
getEndWordVector() DVModel
getEnglishSplitCategories(String) ParentAnnotationStats
This is hardwired to calculate the split categories from English
Penn Treebank sections 2-21 with a default cutoff of 300 (as used
in ACL03PCFG).
getEnglishWords() ConstantsAndVariables
getEntailedSentence(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentence(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentence(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntailedSentenceOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.SentenceFragment entailedSentence = 15;
getEntity(String) AceDocument
getEntity(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntity(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntity(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityMention(String) AceDocument
getEntityMentionArgs() RelationMention
Fetches the arguments of this relation that are entity mentions
getEntityMentions(int) AceDocument
getEntityMentions() AceDocument
getEntityMentions(CoreMap) AnnotationUtils
getEntityOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityResultsPrinterSet() MachineReading
getEntityType() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
getEntityType() CoreNLPProtos.NERMention
optional string entityType = 6;
getEntityType() CoreNLPProtos.NERMentionOrBuilder
optional string entityType = 6;
getEntityTypeBytes() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
getEntityTypeBytes() CoreNLPProtos.NERMention
optional string entityType = 6;
getEntityTypeBytes() CoreNLPProtos.NERMentionOrBuilder
optional string entityType = 6;
getEntityTypeForTag(String) BasicEntityExtractor
getEntityTypeForTag(String) RothEntityExtractor
getEnv() CoreMapExpressionExtractor
getEpsilon() LogPrior
getError() CmdEvaluator
getEvalbF1() AbstractEval
getEvalbF1Percent() AbstractEval
getEvals() DVModelReranker
getEvals() Reranker
getEvalSummary(String, String, String) Scorer
getEvent(String) AceDocument
getEventMention(String) AceDocument
getEventMentions(int) AceDocument
getEventMentions() AceDocument
getEventMentions() AceEntityMention
getEventMentions(CoreMap) AnnotationUtils
getExact() AbstractEval
getExactPercent() AbstractEval
getExamples(List<DocumentExamples>) PairwiseModelTrainer
getExctWsRegex(String) MultiWordStringMatcher
getExistingAnnotator(String) StanfordCoreNLP
getExponentialSchedule(double, double, int) CoolingSchedule
getExpression(String) Expressions.CompositeValue
getExpressionExtractor(Env, Reader) TokenSequenceParser
getExtension(String) IOUtils
getExtent() AceEntityMention
getExtent() AceMention
getExtent() ExtractionObject
getExtentEnd() CoreNLPProtos.Entity.Builder
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.Entity
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.EntityOrBuilder
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.Relation.Builder
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.Relation
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.RelationOrBuilder
optional uint32 extentEnd = 3;
getExtentStart() CoreNLPProtos.Entity.Builder
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.Entity
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.EntityOrBuilder
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.Relation.Builder
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.Relation
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.RelationOrBuilder
optional uint32 extentStart = 2;
getExtentString() ExtractionObject
getExtentTokenEnd() ExtractionObject
getExtentTokenStart() ExtractionObject
getExtractorFrames(String) ExtractorFrames
getExtractorFramesRare(String, TTags) ExtractorFramesRare
Get an array of rare word feature Extractor identified by a name.
getExtraEvals() ParserGrammar
Returns a list of extra Eval objects to use when scoring the parser.
getExtraEvals() LexicalizedParser
getExtraEvals() ShiftReduceParser
TODO: add an eval which measures transition accuracy?
getExtras(List<TypedDependency>) EnglishGrammaticalStructure
getExtras(List<TypedDependency>) GrammaticalStructure
Get extra dependencies that do not depend on the tree structure,
but rather only depend on the existing dependency structure.
getExtras(List<TypedDependency>) UniversalEnglishGrammaticalStructure
getF1() CorefScorer
getF1() EvalUtils.AbstractEvaluator
getF1() EvalUtils.CombinedEvaluator
getF1() EvalUtils.Evaluator
getF1Description(int) MultiClassPrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getF1Description(int, L) MultiClassPrecisionRecallStats
getF1Description(int) PrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getFactoredParser() ParserQuery
getFactoredParser() LexicalizedParserQuery
getFactoredParser() RerankingParserQuery
getFactoredParser() ShiftReduceParserQuery
getFactorTables() CRFCliqueTree
getFactory(String) DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that read the contents of the
given Reader, splits on the specified delimiter, then returns the result.
getFactory(String, Function<String, T>) DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that reads the contents of the
given Reader, splits on the specified delimiter, applies op, then returns the result.
getFactory() LineIterator
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
getFactory(Function<String, X>) LineIterator
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
getFactory(String) XMLBeginEndIterator
Returns a factory that vends BeginEndIterators that reads the contents of
the given Reader, extracts text between the specified Strings, then
returns the result.
getFactory(String, boolean, boolean) XMLBeginEndIterator
getFactory(String, Function<String, E>) XMLBeginEndIterator
getFactory(String, Function<String, E>, boolean, boolean) XMLBeginEndIterator
getFactory() ClassicCounter
Returns a factory that can create new instances of this kind of Counter.
getFactory() Counter
Returns a factory that can create new instances of this kind of Counter.
getFactory() IntCounter
getFCounter(Counter<E>, Counter<E>, double) Counters
getFeature(RelationMention, String) BasicRelationFeatureFactory
getFeature(RelationMention, String) RelationFeatureFactory
getFeatureCount(double, boolean) LinearClassifier
Returns number of features with weight above a certain threshold
(across all labels).
getFeatureCount(Set<L>, double, boolean) LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCount(F) RVFDatum
getFeatureCounter() Dataset
Get Number of datums a given feature appears in.
getFeatureCountLabelIndices(Set<Integer>, double, boolean) LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCounts() GeneralDataset
Get the total count (over all data instances) of each feature
getFeatureCounts() WeightedDataset
getFeatureCountThreshold(Properties, String) CorefProperties
getFeatureFromCoreLabel(CoreLabel, FeatureFactory.FeatureComponent) FeatureFactory
getFeatureGrouping() CRFLogConditionalObjectiveFunction
getFeatureGrouping() CRFNonLinearLogConditionalObjectiveFunction
getFeatureGrouping() HasFeatureGrouping
getFeatureIndex() LogisticClassifier
getFeatures(RelationMention, String) BasicRelationFeatureFactory
getFeatures(RelationMention, String) RelationFeatureFactory
getFeatures(Configuration) DependencyParser
getFeatures() CandidatePhrase
getFeatures() ExtractedPhrase
getFeatures(SemanticGraph, IndexedWord, boolean, Collection<String>, GrammaticalRelation) GetPatternsFromDataMultiClass
getFeatures(Example, Map<Integer, CompressedFeatureVector>, Compressor<String>) MetaFeatureExtractor
getFeatureValue(String) CandidatePhrase
getFile() TaggerConfig
getFile() FileTreeNode
getFileInputStream(String) IOUtils
Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
getFilename() FileTreeNode
getFilename() InputPanel.TRegexGUITreeVisitor
getFilename() TreeFromFile
getFileOutputStream(String) IOUtils
Get a output file stream (automatically gzip/bzip2 depending on file extension)
getFileOutputStream(String, boolean) IOUtils
getFileSentIds(CollectionValuedMap<String, String>) InvertedIndexByTokens
getFileSentIdsFromPats(Collection<E>) InvertedIndexByTokens
getFindType() SequenceMatcher
getFirst() BinaryHeapPriorityQueue
Finds the E with the highest priority and returns it, without
modifying the queue.
getFirst() FixedPrioritiesPriorityQueue
Returns the highest-priority element without removing it from the
queue.
getFirst() PriorityQueue
Finds the object with the highest priority and returns it, without
modifying the queue.
getFirstArg() AceRelationMention
Retrieves the argument that appears *first* in the sentence
getFirstKey() TwoDimensionalMap.Entry
getFirstMention() CorefCluster
getFirstMention() CorefCluster
getFirstNonWsChar(CoreMap) ChunkAnnotationUtils
getFirstNonWsCharOffset(CoreMap, boolean) ChunkAnnotationUtils
getFirstRoot() SemanticGraph
Returns the (first) root of this SemanticGraph.
getFirstSyntacticHeadPosition() RelationMention
Find the left-most position of an argument's syntactic head
getFirstTranslation(String) ChineseEnglishWordMap
getFloatFactorTable(float[][], int[][], List<Index<CRFLabel>>, int) CRFLogConditionalObjectiveFloatFunction
getFMeasure(L) MultiClassPrecisionRecallStats
getFMeasure() MultiClassPrecisionRecallStats
getFMeasure() PrecisionRecallStats
Returns the current F1 measure (alpha=0.5 ).
getFMeasure(double) PrecisionRecallStats
Returns the F-Measure with the given mixing parameter (must be between 0 and 1).
getFN() PrecisionRecallStats
Returns the current count of false negatives.
getFolds() SVMLightClassifierFactory
getFont() Preferences
getFontName() ScrollableTreeJPanel
getFontSize() Preferences
getFontSize() ScrollableTreeJPanel
getFormatter(int) SUTime.CompositePartialTime
getFormatter(int) SUTime.PartialTime
getFP() PrecisionRecallStats
Returns the current count of false positives.
getFullValue() ExtractionObject
Always returns the text corresponding to the extent of this object, even when
getValue is overridden by subclass.
getFunc(int) CRFLogConditionalObjectiveFunctionNoisyLabel
getGender() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
getGender() CoreNLPProtos.CorefChain.CorefMention
optional string gender = 4;
getGender() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string gender = 4;
getGender() CoreNLPProtos.Mention.Builder
optional string gender = 4;
getGender() CoreNLPProtos.Mention
optional string gender = 4;
getGender() CoreNLPProtos.MentionOrBuilder
optional string gender = 4;
getGender() CoreNLPProtos.Token.Builder
optional string gender = 51;
getGender() CoreNLPProtos.Token
optional string gender = 51;
getGender() CoreNLPProtos.TokenOrBuilder
optional string gender = 51;
getGenderBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.CorefChain.CorefMention
optional string gender = 4;
getGenderBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.Mention.Builder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.Mention
optional string gender = 4;
getGenderBytes() CoreNLPProtos.MentionOrBuilder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.Token.Builder
optional string gender = 51;
getGenderBytes() CoreNLPProtos.Token
optional string gender = 51;
getGenderBytes() CoreNLPProtos.TokenOrBuilder
optional string gender = 51;
getGenderNumber(Properties) CorefProperties
getGeneralizeClasses() ConstantsAndVariables
getGeneralWordClassClusters() ConstantsAndVariables
getGeneric() CoreNLPProtos.Mention.Builder
optional bool generic = 25;
getGeneric() CoreNLPProtos.Mention
optional bool generic = 25;
getGeneric() CoreNLPProtos.MentionOrBuilder
optional bool generic = 25;
getGenericity() AceEvent
getGenre() SurfacePattern
getGfCharacter() AbstractTreebankLanguagePack
getGlobal() SynchronizedInterner
For getting the instance that global methods use.
getGlobal() Interner
For getting the instance that global methods use.
getGoldClass(Tree) RNNCoreAnnotations
getGoldCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 goldCorefClusterID = 14;
getGoldCorefClusterID() CoreNLPProtos.Mention
optional int32 goldCorefClusterID = 14;
getGoldCorefClusterID() CoreNLPProtos.MentionOrBuilder
optional int32 goldCorefClusterID = 14;
getGoldLinks() Document
getGoldLinks() Document
getGoogleNgramScore(CandidatePhrase) PhraseScorer
getGovernor() SemanticGraphEdge
getGovernorIndex() UnnamedConcreteDependency
getGradb1() Classifier.Cost
getGradE() Classifier.Cost
getGradW1() Classifier.Cost
getGradW2() Classifier.Cost
getGrammaticalRelation(int, int) GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep
getGrammaticalRelation(IndexedWord, IndexedWord) GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) AbstractTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) ChineseTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) EnglishTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) TreebankLangParserParams
Build a GrammaticalStructure from a Tree.
getGranularity() SUTime.DurationWithFields
getGranularity() SUTime.StandardTemporalType
getGranularity() SUTime.Temporal
getGranularity() SUTime.Time
getGranularity() SUTime.TimeUnit
getGraph() DataInstanceDep
getGraph() SemgrexMatcher
Returns the graph associated with this match.
getGraph(SequenceModel, Index<String>) ViterbiSearchGraphBuilder
getGraphFromMap(Map<String, TransducerGraph>, String) GrammarCompactor
getHasBasicDependency() CoreNLPProtos.Mention.Builder
optional bool hasBasicDependency = 27;
getHasBasicDependency() CoreNLPProtos.Mention
optional bool hasBasicDependency = 27;
getHasBasicDependency() CoreNLPProtos.MentionOrBuilder
optional bool hasBasicDependency = 27;
getHasCollapsedDependency() CoreNLPProtos.Mention.Builder
optional bool hasCollapsedDependency = 28;
getHasCollapsedDependency() CoreNLPProtos.Mention
optional bool hasCollapsedDependency = 28;
getHasCollapsedDependency() CoreNLPProtos.MentionOrBuilder
optional bool hasCollapsedDependency = 28;
getHasContextParseTree() CoreNLPProtos.Mention.Builder
optional bool hasContextParseTree = 29;
getHasContextParseTree() CoreNLPProtos.Mention
optional bool hasContextParseTree = 29;
getHasContextParseTree() CoreNLPProtos.MentionOrBuilder
optional bool hasContextParseTree = 29;
getHasCorefMentionsAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasCorefMentionsAnnotation = 57;
getHasCorefMentionsAnnotation() CoreNLPProtos.Sentence
optional bool hasCorefMentionsAnnotation = 57;
getHasCorefMentionsAnnotation() CoreNLPProtos.SentenceOrBuilder
optional bool hasCorefMentionsAnnotation = 57;
getHash() Clusterer.Cluster
getHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasNumerizedTokensAnnotation = 54;
getHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence
optional bool hasNumerizedTokensAnnotation = 54;
getHasNumerizedTokensAnnotation() CoreNLPProtos.SentenceOrBuilder
optional bool hasNumerizedTokensAnnotation = 54;
getHasRelationAnnotations() CoreNLPProtos.Sentence.Builder
optional bool hasRelationAnnotations = 51;
getHasRelationAnnotations() CoreNLPProtos.Sentence
optional bool hasRelationAnnotations = 51;
getHasRelationAnnotations() CoreNLPProtos.SentenceOrBuilder
optional bool hasRelationAnnotations = 51;
getHasTwin() CoreNLPProtos.Mention.Builder
optional bool hasTwin = 24;
getHasTwin() CoreNLPProtos.Mention
optional bool hasTwin = 24;
getHasTwin() CoreNLPProtos.MentionOrBuilder
optional bool hasTwin = 24;
getHasXmlContext() CoreNLPProtos.Token.Builder
optional bool hasXmlContext = 21;
getHasXmlContext() CoreNLPProtos.Token
optional bool hasXmlContext = 21;
getHasXmlContext() CoreNLPProtos.TokenOrBuilder
optional bool hasXmlContext = 21;
getHead() AceEntityMention
getHead() EntityMention
getHead(int) Configuration
getHeadEnd() CoreNLPProtos.Entity.Builder
optional uint32 headEnd = 7;
getHeadEnd() CoreNLPProtos.Entity
optional uint32 headEnd = 7;
getHeadEnd() CoreNLPProtos.EntityOrBuilder
optional uint32 headEnd = 7;
getHeadFinder() Preferences
getHeadFinder() TregexMatcher
getHeadIndex(Tree) MentionExtractor
getHeadIndex(Tree, HeadFinder) Preprocessor
getHeadIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 headIndex = 9;
getHeadIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 headIndex = 9;
getHeadIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 headIndex = 9;
getHeadIndex() CoreNLPProtos.Mention.Builder
optional uint32 headIndex = 10;
getHeadIndex() CoreNLPProtos.Mention
optional uint32 headIndex = 10;
getHeadIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 headIndex = 10;
getHeadIndexedWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWord() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWord() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadStart() CoreNLPProtos.Entity.Builder
optional uint32 headStart = 6;
getHeadStart() CoreNLPProtos.Entity
optional uint32 headStart = 6;
getHeadStart() CoreNLPProtos.EntityOrBuilder
optional uint32 headStart = 6;
getHeadString() CoreNLPProtos.Mention.Builder
optional string headString = 11;
getHeadString() CoreNLPProtos.Mention
optional string headString = 11;
getHeadString() CoreNLPProtos.MentionOrBuilder
optional string headString = 11;
getHeadStringBytes() CoreNLPProtos.Mention.Builder
optional string headString = 11;
getHeadStringBytes() CoreNLPProtos.Mention
optional string headString = 11;
getHeadStringBytes() CoreNLPProtos.MentionOrBuilder
optional string headString = 11;
getHeadTokenEnd() EntityMention
getHeadTokenIndex() CoreNLPProtos.Entity.Builder
optional uint32 headTokenIndex = 10;
getHeadTokenIndex() CoreNLPProtos.Entity
optional uint32 headTokenIndex = 10;
getHeadTokenIndex() CoreNLPProtos.EntityOrBuilder
optional uint32 headTokenIndex = 10;
getHeadTokenPosition() AceEntityMention
getHeadTokenStart() EntityMention
getHeadWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWord() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWord() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordIndex() CoreNLPProtos.Token.Builder
optional uint32 headWordIndex = 26;
getHeadWordIndex() CoreNLPProtos.Token
optional uint32 headWordIndex = 26;
getHeadWordIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 headWordIndex = 26;
getHeadWordOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeldOutPercent() SVMLightClassifierFactory
getHighestScoringTree(Tree, double) DVParserCostAndGradient
getHighlightColor() Preferences
getHistories(String[], History) TestSentence
getHistory() DataWordTag
getHistoryList() InputPanel
getHistorySize() Preferences
getHistoryString() InputPanel
getID() DFSATransition
getId() AceElement
getIfDefined() Lazy
getIgnoreWordswithClassesDuringSelection() ConstantsAndVariables
getIncomingEdges(V) DirectedMultiGraph
getIncomingEdges(V) Graph
for undirected graph, it is just the edges from the node
getIncomingEdgesSorted(IndexedWord) SemanticGraph
getInDegree(V) DirectedMultiGraph
getInDegree(V) Graph
for undirected graph, it should just be the degree
getIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 index = 2;
getIndex() CoreNLPProtos.DependencyGraph.Node
required uint32 index = 2;
getIndex() CoreNLPProtos.DependencyGraph.NodeOrBuilder
required uint32 index = 2;
getIndex() CoreNLPProtos.Quote.Builder
optional uint32 index = 10;
getIndex() CoreNLPProtos.Quote
optional uint32 index = 10;
getIndex() CoreNLPProtos.QuoteOrBuilder
optional uint32 index = 10;
getIndex(List<T>, T) CollectionUtils
Returns the index of the first occurrence in the list of the specified
object, using object identity (==) not equality as the criterion for object
presence.
getIndex(List<T>, T, int) CollectionUtils
Returns the index of the first occurrence after the startIndex (exclusive)
in the list of the specified object, using object equals function.
getIndexAndCount(String) StringDictionary
getIndexOfChild(Object, Object) FileTreeModel
getIndices() ExtractedPhrase
getInDict(String) affDict
getInexactDuration(ReadablePeriod) SUTime.Duration
getInexactDuration(Duration) SUTime.Duration
getInformationGains() Dataset
getInnerMapFactory() TwoDimensionalCounter
getInnerMapFactory() TwoDimensionalIntCounter
getInput() DFSATransition
getInput() TransducerGraph.Arc
getInputEncoding() AbstractTreebankParserParams
Returns the input encoding being used.
getInputEncoding() TreebankLangParserParams
Returns the input encoding being used.
getInputs() TransducerGraph
getInputStream() ByteStreamGobbler
getInputStreamFromURLOrClasspathOrFileSystem(String) IOUtils
Locates this file either using the given URL, or in the CLASSPATH, or in the file system
The CLASSPATH takes priority over the file system!
This stream is buffered and gunzipped (if necessary).
getInputType(Properties) CorefProperties
getInsertNPinPP() NegraPennTreeNormalizer
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) PriorModelFactory
getInstance() SpanishVerbStripper
Singleton pattern function for getting a default verb stripper.
getInstance(String) SpanishVerbStripper
Singleton pattern function for getting a verb stripper based on
the dictionary at dictPath.
getInstance() ChineseEnglishWordMap
A method for getting a singleton instance of this class.
getInstance() DisplayMatchesPanel
getInstance() FilePanel
getInstance() InputPanel
getInstance() MatchesPanel
Returns the singleton instance of the MatchesPanel
getInstance() TregexGUI
getInstant(Partial) JodaTimeUtils
getInt(Properties, String) PropertiesUtils
Load an integer property.
getInt(Properties, String, int) PropertiesUtils
Load an integer property.
getIntArray(Properties, String) PropertiesUtils
Loads a comma-separated list of integers from Properties.
getIntCount(Object) IntCounter
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
getInterval() BasicSequenceMatchResult
getInterval() Match
getInterval() PhraseTable.PhraseMatch
getInterval() SUTime.Range
getInterval() SUTime.Time
getInterval() HasInterval
Returns the interval
getInterval() Interval
Returns this interval.
getInterval() ValuedInterval
getIntTuple(int) IntTuple
getIntTuple(List<Integer>) IntTuple
getInverseArcs(Object, Object) FastExactAutomatonMinimizer
getInverseArcs(Object) FastExactAutomatonMinimizer
getInverseImages(FastExactAutomatonMinimizer.Split) FastExactAutomatonMinimizer
getIsDirectObject() CoreNLPProtos.Mention.Builder
optional bool isDirectObject = 21;
getIsDirectObject() CoreNLPProtos.Mention
optional bool isDirectObject = 21;
getIsDirectObject() CoreNLPProtos.MentionOrBuilder
optional bool isDirectObject = 21;
getIsExtra() CoreNLPProtos.DependencyGraph.Edge.Builder
optional bool isExtra = 4;
getIsExtra() CoreNLPProtos.DependencyGraph.Edge
optional bool isExtra = 4;
getIsExtra() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional bool isExtra = 4;
getIsIndirectObject() CoreNLPProtos.Mention.Builder
optional bool isIndirectObject = 22;
getIsIndirectObject() CoreNLPProtos.Mention
optional bool isIndirectObject = 22;
getIsIndirectObject() CoreNLPProtos.MentionOrBuilder
optional bool isIndirectObject = 22;
getIsPrepositionObject() CoreNLPProtos.Mention.Builder
optional bool isPrepositionObject = 23;
getIsPrepositionObject() CoreNLPProtos.Mention
optional bool isPrepositionObject = 23;
getIsPrepositionObject() CoreNLPProtos.MentionOrBuilder
optional bool isPrepositionObject = 23;
getIsSingleton() CoreNLPProtos.Mention.Builder
optional bool isSingleton = 26;
getIsSingleton() CoreNLPProtos.Mention
optional bool isSingleton = 26;
getIsSingleton() CoreNLPProtos.MentionOrBuilder
optional bool isSingleton = 26;
getIsSubject() CoreNLPProtos.Mention.Builder
optional bool isSubject = 20;
getIsSubject() CoreNLPProtos.Mention
optional bool isSubject = 20;
getIsSubject() CoreNLPProtos.MentionOrBuilder
optional bool isSubject = 20;
getIstmod() CoreNLPProtos.OpenIETriple.Builder
optional bool istmod = 9;
getIstmod() CoreNLPProtos.OpenIETriple
optional bool istmod = 9;
getIstmod() CoreNLPProtos.OpenIETripleOrBuilder
optional bool istmod = 9;
getIterations() TaggerConfig
getIterator(Reader) ArabicDocumentReaderAndWriter
Iterate over an input document.
getIterator(Reader) ArabicTokenizer.ArabicTokenizerFactory
getIterator(Reader) FrenchTokenizer.FrenchTokenizerFactory
getIterator(Reader) SpanishTokenizer.SpanishTokenizerFactory
getIterator(Reader) DelimitRegExIterator.DelimitRegExIteratorFactory
getIterator(Reader) IteratorFromReaderFactory
Return an iterator over the contents read from r.
getIterator(Reader) LineIterator.LineIteratorFactory
getIterator(Reader) PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getIterator(Reader) WhitespaceTokenizer.WhitespaceTokenizerFactory
getIterator(Reader) ColumnDocumentReaderAndWriter
getIterator(Reader) CoNLLDocumentReaderAndWriter
getIterator(Reader) PlainTextDocumentReaderAndWriter
getIterator(Reader) TrueCasingForNISTDocumentReaderAndWriter
getIterator(Reader) TreeTokenizerFactory
Same as getTokenizer().
getIterator(Reader) CoNLLUDocumentReader
getIterator(Reader) Sighan2005DocumentReaderAndWriter
getJarClassifier(String, Properties) CRFClassifier
Used to load a classifier stored as a resource inside a jar file.
getJNLPLocalScratch() IOUtils
A JavaNLP specific convenience routine for obtaining the current
scratch directory for the machine you're currently running on.
getJodaTimeDuration() SUTime.Duration
getJodaTimeDuration() SUTime.DurationRange
getJodaTimeDuration() SUTime.DurationWithFields
getJodaTimeDuration() SUTime.DurationWithMillis
getJodaTimeInstant() SUTime.CompositePartialTime
getJodaTimeInstant() SUTime.GroundedTime
getJodaTimeInstant() SUTime.InexactTime
getJodaTimeInstant() SUTime.PartialTime
getJodaTimeInstant() SUTime.Time
getJodaTimeInterval() SUTime.Range
getJodaTimePartial() SUTime.GroundedTime
getJodaTimePartial() SUTime.InexactTime
getJodaTimePartial() SUTime.PartialTime
getJodaTimePartial() SUTime.Time
getJodaTimePeriod(Partial) JodaTimeUtils
getJodaTimePeriod() SUTime.Duration
getJodaTimePeriod() SUTime.DurationRange
getJodaTimePeriod() SUTime.DurationWithFields
getJodaTimePeriod() SUTime.DurationWithMillis
getJustification() Alignment
getKBestParses(List<? extends HasWord>, int) CharniakParser
getKBestParses(List<? extends HasWord>, int, boolean) CharniakParser
getKBestParses(Iterable<List<? extends HasWord>>, int) CharniakParser
getKBestParses(Iterable<List<? extends HasWord>>, int, boolean) CharniakParser
getKBestParses(int) KBestViterbiParser
Get the exact k best parses for the sentence.
getKBestParses(int) BiLexPCFGParser
Get the exact k best parses for the sentence.
getKBestParses(int) ExhaustiveDependencyParser
Get the exact k best parses for the sentence.
getKBestParses(int) ExhaustivePCFGParser
Get the exact k best parses for the sentence.
getKBestParses(int) FastFactoredParser
Get the exact k best parses for the sentence.
getKBestParseTrees(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTrees(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTrees(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestPCFGParses(int) ParserQuery
getKBestPCFGParses(int) LexicalizedParserQuery
Returns the trees (and scores) corresponding to the
k-best derivations of the sentence.
getKBestPCFGParses(int) RerankingParserQuery
getKBestPCFGParses(int) ShiftReduceParserQuery
TODO: return more if this used a beam
getKeepOriginalText() DocumentReader
Returns whether created documents will store their source text along with tokenized words.
getKey(int) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
getKey(int) CoreNLPProtos.MapIntString
repeated uint32 key = 1;
getKey(int) CoreNLPProtos.MapIntStringOrBuilder
repeated uint32 key = 1;
getKey(int) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKey(int) CoreNLPProtos.MapStringString
repeated string key = 1;
getKey(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeyBytes(int) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKeyBytes(int) CoreNLPProtos.MapStringString
repeated string key = 1;
getKeyBytes(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeyCount() CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
getKeyCount() CoreNLPProtos.MapIntString
repeated uint32 key = 1;
getKeyCount() CoreNLPProtos.MapIntStringOrBuilder
repeated uint32 key = 1;
getKeyCount() CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKeyCount() CoreNLPProtos.MapStringString
repeated string key = 1;
getKeyCount() CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeyForClass(Class) Token
getKeyList() CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
getKeyList() CoreNLPProtos.MapIntString
repeated uint32 key = 1;
getKeyList() CoreNLPProtos.MapIntStringOrBuilder
repeated uint32 key = 1;
getKeyList() CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKeyList() CoreNLPProtos.MapStringString
repeated string key = 1;
getKeyList() CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeySetEntities() AceDocument
getKGoodFactoredParses(int) ParserQuery
getKGoodFactoredParses(int) LexicalizedParserQuery
getKGoodFactoredParses(int) RerankingParserQuery
getKGoodFactoredParses(int) ShiftReduceParserQuery
getKGoodParses(int) KBestViterbiParser
Get k good parses for the sentence.
getKGoodParses(int) BiLexPCFGParser
Return the list of k "good" parses of the sentence most recently parsed.
getKGoodParses(int) ExhaustiveDependencyParser
Get k good parses for the sentence.
getKGoodParses(int) ExhaustivePCFGParser
Get k good parses for the sentence.
getKGoodParses(int) FastFactoredParser
Return the list of N "good" parses of the sentence most recently parsed.
getKnownLCWords() AbstractSequenceClassifier
getKSampledParses(int) KBestViterbiParser
Get k parse samples for the sentence.
getKSampledParses(int) BiLexPCFGParser
Get k parse samples for the sentence.
getKSampledParses(int) ExhaustiveDependencyParser
Get k parse samples for the sentence.
getKSampledParses(int) ExhaustivePCFGParser
Get k parse samples for the sentence.
getKSampledParses(int) FastFactoredParser
Get k parse samples for the sentence.
getL1NormalizedTFIDFDataset() Dataset
Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) Dataset
Method to convert features from counts to L1-normalized TFIDF based features
getLabel() CRFLabel
getLabel(int) Configuration
getLabel() TreeFromFile
getLabeledToDescriptiveCoreLabelTreeFunction() TreeFunctions
Returns a function which takes a tree with any label class
where the labels might have an interesting description, such
as a CategoryWordTag which goes "cat [T/W]", and returns a new
tree with CoreLabels which contain the toString() of each of
the input labels.
getLabeledTreeToCategoryWordTagTreeFunction() TreeFunctions
Return a Function that maps from StringLabel labeled trees to
LabeledScoredTrees with a CategoryWordTag label.
getLabeledTreeToStringLabeledTreeFunction() TreeFunctions
Return an Function that maps from Label-labeled trees (any
implementing class) to LabeledScored trees with a StringLabel
label.
getLabelForInternalNegativeClass() LogisticClassifier
getLabelForInternalPositiveClass() LogisticClassifier
getLabelID(String) DependencyParser
getLabelIndices(Set<L>) LinearClassifier
Returns indices of labels
getLabels() CRFLogConditionalObjectiveFunction
getLabels() ConstantsAndVariables
getLabels() MultiClassPrecisionRecallExtendedStats
getLabelsArray() GeneralDataset
getLang() TaggerConfig
getLanguage(Properties) CorefProperties
getLanguage() CoreNLPProtos.DependencyGraph.Edge.Builder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() CoreNLPProtos.DependencyGraph.Edge
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() GrammaticalRelation
Get the language of the grammatical relation.
getLastArg() AceRelationMention
Retrieves the argument that appears *last* in the sentence
getLastF1() AbstractEval
getLastSyntacticHeadPosition() RelationMention
Find the right-most position of an argument's syntactic head
getLatticeWords() HTKLatticeReader
getLBScore() EvaluateTreebank
getLdctype() AceEntityMention
getLeaf(Tree, int) Trees
Gets the i th leaf of a tree from the left.
getLeafVertices() SemanticGraph
getLearnClosedClassTags() TaggerConfig
getLearnedPatterns(String) GetPatternsFromDataMultiClass
getLearnedPatterns() GetPatternsFromDataMultiClass
getLearnedPatternsEachIter() GetPatternsFromDataMultiClass
getLearnedPatternsEachIter(String) GetPatternsFromDataMultiClass
getLearnedWords(String) ConstantsAndVariables
getLearnedWordsAsJson() ConstantsAndVariables
getLearnedWordsAsJsonLastIteration() ConstantsAndVariables
getLearnedWordsEachIter(String) ConstantsAndVariables
getLearnedWordsEachIter() ConstantsAndVariables
getLearningRate(String) SimpleLinearClassifier.LearningRateSchedule
getLeaves() Tree
Gets the leaves of the tree.
getLeaves(List<T>) Tree
Gets the leaves of the tree.
getLeftChild(int, int) Configuration
getLeftChild(int) Configuration
getLeftLabelSet(int) Configuration
getLeftmostNode(IntervalTree.TreeNode<E, T>) IntervalTree
getLeftValency(int) Configuration
getLemma() AceToken
getLemma() CoreNLPProtos.Token.Builder
optional string lemma = 10;
getLemma() CoreNLPProtos.Token
optional string lemma = 10;
getLemma() CoreNLPProtos.TokenOrBuilder
optional string lemma = 10;
getLemmaBytes() CoreNLPProtos.Token.Builder
optional string lemma = 10;
getLemmaBytes() CoreNLPProtos.Token
optional string lemma = 10;
getLemmaBytes() CoreNLPProtos.TokenOrBuilder
optional string lemma = 10;
getLemmas(String) LexicalizedParserClient
Get the lemmas for the text according to the parser's lemmatizer
(only applies to English), return it as whitespace tokenized text.
getLexicalCondition() AceRelationMention
getLexicon() BaseUnknownWordModel
Get the lexicon associated with this unknown word model; usually not used, but
might be useful to tell you if a related word is known or unknown, for example.
getLexicon() LexicalizedParser
getLexicon() UnknownWordModel
Returns the lexicon used by this unknown word model.
getLinearSchedule(double, int) CoolingSchedule
getLineIterable(Reader, boolean) IOUtils
Given a reader, returns the lines from the reader as an Iterable.
getLineIterable(Reader, int, boolean) IOUtils
getLineIterator(String) ObjectBank
getLineIterator(String, Function<String, X>) ObjectBank
getLineIterator(String, String) ObjectBank
getLineIterator(Reader) ObjectBank
getLineIterator(Reader, Function<String, X>) ObjectBank
getLineIterator(File) ObjectBank
getLineIterator(File, Function<String, X>) ObjectBank
getLineIterator(File, String) ObjectBank
getLineIterator(File, Function<String, X>, String) ObjectBank
getLineIterator(Collection<?>, Function<String, X>) ObjectBank
getLineIterator(Collection<?>, String) ObjectBank
getLineIterator(Collection<?>, Function<String, X>, String) ObjectBank
getLinks(Map<Integer, CorefChain>) SieveCoreferenceSystem
getLinks(Map<Integer, CorefChain>) CorefAnnotator
getListComparator() CollectionUtils
getListComparator() Comparators
getListMembers(int) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
getListMembers(int) CoreNLPProtos.Mention
repeated int32 listMembers = 57;
getListMembers(int) CoreNLPProtos.MentionOrBuilder
repeated int32 listMembers = 57;
getListMembersCount() CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
getListMembersCount() CoreNLPProtos.Mention
repeated int32 listMembers = 57;
getListMembersCount() CoreNLPProtos.MentionOrBuilder
repeated int32 listMembers = 57;
getListMembersList() CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
getListMembersList() CoreNLPProtos.Mention
repeated int32 listMembers = 57;
getListMembersList() CoreNLPProtos.MentionOrBuilder
repeated int32 listMembers = 57;
getLiteral() AceToken
getLnrmRegex(String) MultiWordStringMatcher
getLoc() FactoredLexiconEvent
getLoggerLevel() GenericDataSetReader
getLong(Properties, String, long) PropertiesUtils
Load an integer property as a long.
getLongestPhrase(List<PhraseTable.Phrase>) PhraseTable
getLongName() GrammaticalRelation
getLowestCommonAncestor(List<Tree>, Tree) Trees
Get lowest common ancestor of all the nodes in the list with the tree rooted at root
getLowestCommonAncestor(Tree, Tree, Tree) Trees
returns the node of a tree which represents the lowest common
ancestor of nodes t1 and t2 dominated by root.
getLWsRegex(String) MultiWordStringMatcher
getMainStrs(List<String>) AcronymMatcher
getMangledTree() CollocationFinder
Returns the "collocations included" parse tree.
getMap(String) ChineseSimWordAvgDepGrammar
getMap() Alignment
getMap(K1) TwoDimensionalMap
getMapFactory() IntCounter
getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) CollectionUtils
getMapping(String) Distsim
Returns the cluster for the given word as a string.
getMargin(Tree, Tree) DVParserCostAndGradient
getMarkLineBreaks() StripTagsProcessor
Returns whether the output of the processor will contain newline words
("\n") at the end of block-level tags.
getMassiBbn() AceToken
getMassiClass() AceToken
getMassiWnss() AceToken
getMatch() SemgrexMatcher
Get the last matching node -- that is, the node that matches the root node
of the pattern.
getMatch() TregexMatcher
Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
getMatched() Match
getMatchedColor() Preferences
getMatchedColor() ScrollableTreeJPanel
getMatchedLength() Match
getMatchedPartCoordinates() ScrollableTreeJPanel
getMatchedParts() InputPanel.TRegexGUITreeVisitor
getMatchedParts() MatchesPanel
getMatchedParts() ScrollableTreeJPanel
getMatchedSentences() MatchesPanel
Returns all currently displayed sentences in plain text form.
getMatcher(List<? extends T>) SequencePattern
getMatcher(List<? extends CoreMap>) TokenSequencePattern
Returns a TokenSequenceMatcher that can be used to match this pattern
against the specified list of tokens.
getMatches() InputPanel.TRegexGUITreeVisitor
getMatches() MatchesPanel
Returns all currently displayed matches in string buffer, penn treebank form
(suitable for writing out, for instance)
getMatchPortionOnly() Preferences
getMatchType() MultiWordStringMatcher
getMaxAvailableMemory() MemoryMonitor
getMaxAvailableMemory(boolean) MemoryMonitor
getMaxMatches() Preferences
getMaxMemory() MemoryMonitor
getMaxNodes() MultiNodePattern
getMaxSentDistForSieve(Properties, String) CorefProperties
getMaxSentenceLength() CharniakParser
getMaxSize() MaxSizeConcurrentHashSet
getMaxTokenEnd() AceEventMention
Returns the largest start of all argument heads (or the beginning of the
mention's extent if there are no arguments)
getMaxTokenEnd() AceRelationMention
Returns the largest end of the two args heads
getMDType(Properties) CorefProperties
getMembers() Block
getMemoryInUse() SystemUtils
Returns the number of megabytes (MB) of memory in use.
getMention(Integer, String, List<CoreLabel>) CoNLL2011DocumentReader
getMention(Integer, String, List<CoreLabel>) CoNLLDocumentReader
getMention() AceEntityMention
getMention(int) AceEvent
getMention(int) AceRelation
getMention(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention(int) CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention(int) CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionBuilder(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionBuilderList() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() AceEvent
getMentionCount() AceRelation
getMentionCount() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionDetectionModel(Properties) CorefProperties
getMentionID() CoreNLPProtos.CorefChain.CorefMention.Builder
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.CorefChain.CorefMention
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.Mention.Builder
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.Mention
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.MentionOrBuilder
optional int32 mentionID = 1;
getMentionList() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionList() CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionList() CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionMap() CorefChain
getMentionMap() CorefChain
getMentionNum() CoreNLPProtos.Mention.Builder
optional uint32 mentionNum = 16;
getMentionNum() CoreNLPProtos.Mention
optional uint32 mentionNum = 16;
getMentionNum() CoreNLPProtos.MentionOrBuilder
optional uint32 mentionNum = 16;
getMentionOrBuilder(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilder(int) CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilder(int) CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentions() SpeakerInfo
getMentions() SpeakerInfo
getMentions() AceEntity
getMentions(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
getMentions(int) CoreNLPProtos.SpeakerInfo
repeated int32 mentions = 2;
getMentions(int) CoreNLPProtos.SpeakerInfoOrBuilder
repeated int32 mentions = 2;
getMentionsBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
getMentionsCount() CoreNLPProtos.SpeakerInfo
repeated int32 mentions = 2;
getMentionsCount() CoreNLPProtos.SpeakerInfoOrBuilder
repeated int32 mentions = 2;
getMentionsForCoref(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCoref(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCoref(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsInTextualOrder() CorefChain
get List of CorefMentions
getMentionsInTextualOrder() CorefChain
get List of CorefMentions
getMentionsList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
getMentionsList() CoreNLPProtos.SpeakerInfo
repeated int32 mentions = 2;
getMentionsList() CoreNLPProtos.SpeakerInfoOrBuilder
repeated int32 mentions = 2;
getMentionsOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsWithSameHead(IntPair) CorefChain
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) CorefChain
get CorefMention by position
getMentionsWithSameHead(IntPair) CorefChain
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) CorefChain
get CorefMention by position
getMentionType(Properties, String) CorefProperties
getMentionType() EntityMention
getMentionType() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.CorefChain.CorefMention
optional string mentionType = 2;
getMentionType() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
getMentionType() CoreNLPProtos.Entity
optional string mentionType = 8;
getMentionType() CoreNLPProtos.EntityOrBuilder
optional string mentionType = 8;
getMentionType() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.Mention
optional string mentionType = 2;
getMentionType() CoreNLPProtos.MentionOrBuilder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.CorefChain.CorefMention
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
getMentionTypeBytes() CoreNLPProtos.Entity
optional string mentionType = 8;
getMentionTypeBytes() CoreNLPProtos.EntityOrBuilder
optional string mentionType = 8;
getMentionTypeBytes() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.Mention
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.MentionOrBuilder
optional string mentionType = 2;
getMentionTypeStr(Properties, String) CorefProperties
getMergedChunk(List<? extends CoreMap>, String, int, int, CoreLabelTokenFactory) ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMergedChunk(List<? extends CoreMap>, int, int, Map<Class, CoreMapAttributeAggregator>, CoreLabelTokenFactory) ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMergedList() CoreMapSequenceMatcher
getMergedList(int...) CoreMapSequenceMatcher
getMergeThreshold(Properties, String) CorefProperties
getMiddle() IntQuadruple
getMiddle() IntTriple
getMidPoint(Interval<Integer>) Interval
getMinFeatureThresh() TaggerConfig
getMinimizer() CRFClassifier
getMinimizer(int, Evaluator[]) CRFClassifier
getMinNodes() MultiNodePattern
getMinTokenStart() AceEventMention
Returns the smallest start of all argument heads (or the beginning of the
mention's extent if there are no arguments)
getMinTokenStart() AceRelationMention
Returns the smallest start of the two args heads
getMissingRequirement(Set<String>) Requirement
getMod() SUTime.Temporal
getModal(Dictionaries) Mention
getModal(Dictionaries) Mention
getModality() AceEvent
getMode() TaggerConfig
getModel() TaggerConfig
getModelFromLexicalizedParser(LexicalizedParser) DVParser
getModification() EventMention
getModifiers(Dictionaries) Mention
getModifiers(Dictionaries) Mention
getMonth() SUTime.IsoDate
getMostGeneral(Partial) JodaTimeUtils
getMostGeneral(Period) JodaTimeUtils
getMostSpecific(Partial) JodaTimeUtils
getMostSpecific(Period) JodaTimeUtils
getmPolarity() AceEvent
getMultimatched() MultiMatch
getMultimatches() MultiMatch
getMultioffsets() MultiMatch
getMultiPatternMatcher(Collection<TokenSequencePattern>) TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
getMultiPatternMatcher(TokenSequencePattern...) TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
getMultivalues() MultiMatch
getName() InefficientSGDMinimizer
getName() ScaledSGDMinimizer
getName() SGDMinimizer
getName() SGDToQNMinimizer
getName() SGDWithAdaGradAndFOBOS
getName() SMDMinimizer
getName() SQNMinimizer
getName() StochasticMinimizer
getName() CoreNLPProtos.Operator.Builder
required string name = 1;
getName() CoreNLPProtos.Operator
required string name = 1;
getName() CoreNLPProtos.OperatorOrBuilder
required string name = 1;
getName() DocumentProcessor
getName() NodePattern
getName() MetaClass.ClassFactory
Returns the full class name for the objects being produced
getNameBytes() CoreNLPProtos.Operator.Builder
required string name = 1;
getNameBytes() CoreNLPProtos.Operator
required string name = 1;
getNameBytes() CoreNLPProtos.OperatorOrBuilder
required string name = 1;
getNegation(Dictionaries) Mention
getNegation(Dictionaries) Mention
getNegLabel() LabeledChunkIdentifier
getNegLabel() MultiClassPrecisionRecallStats
getNeighbors(V) DirectedMultiGraph
Gets both parents and children nodes
getNeighbors(V) Graph
getNer() CoreNLPProtos.NERMention.Builder
required string ner = 4;
getNer() CoreNLPProtos.NERMention
required string ner = 4;
getNer() CoreNLPProtos.NERMentionOrBuilder
required string ner = 4;
getNer() CoreNLPProtos.Token.Builder
optional string ner = 8;
getNer() CoreNLPProtos.Token
optional string ner = 8;
getNer() CoreNLPProtos.TokenOrBuilder
optional string ner = 8;
getNerBytes() CoreNLPProtos.NERMention.Builder
required string ner = 4;
getNerBytes() CoreNLPProtos.NERMention
required string ner = 4;
getNerBytes() CoreNLPProtos.NERMentionOrBuilder
required string ner = 4;
getNerBytes() CoreNLPProtos.Token.Builder
optional string ner = 8;
getNerBytes() CoreNLPProtos.Token
optional string ner = 8;
getNerBytes() CoreNLPProtos.TokenOrBuilder
optional string ner = 8;
getNerc() AceToken
getNerString() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
getNerString() CoreNLPProtos.Mention
optional string nerString = 12;
getNerString() CoreNLPProtos.MentionOrBuilder
optional string nerString = 12;
getNerStringBytes() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
getNerStringBytes() CoreNLPProtos.Mention
optional string nerString = 12;
getNerStringBytes() CoreNLPProtos.MentionOrBuilder
optional string nerString = 12;
getNewEnv() NumberNormalizer
getNewEnv() TokenSequencePattern
getNewInstance(PatternFactory.PatternType, CoreMap) DataInstance
getNewLineCount() RobustTokenizer.WordToken
getNewlineToken() PTBTokenizer
Returns the string literal inserted for newlines when the -tokenizeNLs
options is set.
getNewSurfaceInstance(List<CoreLabel>) DataInstance
getNext() RobustTokenizer
getNext() ArabicTokenizer
getNext() FrenchTokenizer
getNext() SpanishTokenizer
getNext() AbstractTokenizer
Internally fetches the next token.
getNext() LexerTokenizer
Internally fetches the next token.
getNext() PTBTokenizer
Internally fetches the next token.
getNext() TokenizerAdapter
Internally fetches the next token.
getNext() WhitespaceTokenizer
Internally fetches the next token.
getNext() WordSegmentingTokenizer
getNext() ArabicTreebankTokenizer
Internally fetches the next token.
getNext() CHTBTokenizer
Internally fetches the next token.
getNextContext() SurfacePattern
getNextContextLen() SurfacePattern
getNextContextStr() SurfacePattern
getNextDocument() CoNLL2011DocumentReader
getNextDocument() CoNLLDocumentReader
getNextToken() TokenSequenceParser
Get the next Token.
getNGrams(List<T>, int, int) CollectionUtils
Get all sub-lists of the given list of the given sizes.
getNgrams(List<String>, int, int) StringUtils
n grams for already splitted string.
getNgramsFromTokens(List<CoreLabel>, int, int) StringUtils
n grams for already splitted string.
getNgramsString(String, int, int) StringUtils
The string is split on whitespace and the ngrams are joined with a single space
getNmod(String) UniversalEnglishGrammaticalRelations
The "nmod" grammatical relation.
getNmods() UniversalEnglishGrammaticalRelations
getNode(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(String) SemgrexMatcher
Returns the node labeled with name in the pattern.
getNode(Node, Pattern...) XMLUtils
getNode(Node, String...) XMLUtils
getNode(String) TregexMatcher
Returns the node labeled with name in the pattern.
getNode(IntervalTree.TreeNode<E, T>, int) IntervalTree
getNodeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeByIndex(int) SemanticGraph
Returns the
first IndexedWord in this
SemanticGraph having the given integer index,
or throws
IllegalArgumentException if no such node is found.
getNodeByIndexSafe(int) SemanticGraph
Same as above, but returns null if the index does not exist
(instead of throwing an exception).
getNodeByWordPattern(String) SemanticGraph
Returns the
first IndexedWord in this
SemanticGraph having the given word or
regex, or return null if no such found.
getNodeCount() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeNames() SemgrexMatcher
Returns the set of names for named nodes in this pattern.
getNodeNames() TregexMatcher
getNodeNumber(int) Tree
getNodeOrBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodePattern(String) Env
getNodes() TransducerGraph
Just does union of keysets of maps.
getNodes(Node, Pattern...) XMLUtils
getNodes(Node, String...) XMLUtils
getNodeText(Node, Pattern...) XMLUtils
getNodeText(Node, String...) XMLUtils
getNodeTexts(Node, String...) XMLUtils
getNodeVector(Tree) RNNCoreAnnotations
Get the vector (distributed representation) at a particular node.
getNonBackgroundLabels(CoreLabel) GetPatternsFromDataMultiClass
getNonNested(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) IntervalTree
getNonOverlapping(List<Match<K, V>>) TrieMapMatcher
Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, Comparator<? super Match<K, V>>) TrieMapMatcher
Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, Function<? super Match<K, V>, Double>) TrieMapMatcher
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>) IntervalTree
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) IntervalTree
getNonOverlapping(List<? extends T>, Comparator<? super T>) IntervalTree
getNonOverlapping(List<? extends T>) IntervalTree
getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Interval<E>>, Function<? super T, Double>) IntervalTree
getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Double>) IntervalTree
getNormalized(String) ComplexNodePattern.AbstractStringAnnotationPattern
getNormalizedCount(E) IntCounter
This has been de-deprecated in order to reduce compilation warnings, but
really you should create a
Distribution instead of using this method.
getNormalizedForm(String) PhraseTable
getNormalizedName() EntityMention
getNormalizedName() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
getNormalizedName() CoreNLPProtos.Entity
optional string normalizedName = 9;
getNormalizedName() CoreNLPProtos.EntityOrBuilder
optional string normalizedName = 9;
getNormalizedNameBytes() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
getNormalizedNameBytes() CoreNLPProtos.Entity
optional string normalizedName = 9;
getNormalizedNameBytes() CoreNLPProtos.EntityOrBuilder
optional string normalizedName = 9;
getNormalizedNER() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
getNormalizedNER() CoreNLPProtos.NERMention
optional string normalizedNER = 5;
getNormalizedNER() CoreNLPProtos.NERMentionOrBuilder
optional string normalizedNER = 5;
getNormalizedNER() CoreNLPProtos.Token.Builder
optional string normalizedNER = 9;
getNormalizedNER() CoreNLPProtos.Token
optional string normalizedNER = 9;
getNormalizedNER() CoreNLPProtos.TokenOrBuilder
optional string normalizedNER = 9;
getNormalizedNERBytes() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
getNormalizedNERBytes() CoreNLPProtos.NERMention
optional string normalizedNER = 5;
getNormalizedNERBytes() CoreNLPProtos.NERMentionOrBuilder
optional string normalizedNER = 5;
getNormalizedNERBytes() CoreNLPProtos.Token.Builder
optional string normalizedNER = 9;
getNormalizedNERBytes() CoreNLPProtos.Token
optional string normalizedNER = 9;
getNormalizedNERBytes() CoreNLPProtos.TokenOrBuilder
optional string normalizedNER = 9;
getNotNullString(String) StringUtils
getNotNullTrueStringRep() SeqClassifierFlags
note that this does *not* return string representation of arrays, lists and
enums
getNThreads() TaggerConfig
getNum() AbstractEval
getNumber() Experiments
getNumber() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
getNumber() CoreNLPProtos.CorefChain.CorefMention
optional string number = 3;
getNumber() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string number = 3;
getNumber() CoreNLPProtos.Language
getNumber() CoreNLPProtos.Mention.Builder
optional string number = 3;
getNumber() CoreNLPProtos.Mention
optional string number = 3;
getNumber() CoreNLPProtos.MentionOrBuilder
optional string number = 3;
getNumber() CoreNLPProtos.NaturalLogicRelation
getNumber() CoreNLPProtos.Sentiment
getNumberBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
getNumberBytes() CoreNLPProtos.CorefChain.CorefMention
optional string number = 3;
getNumberBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string number = 3;
getNumberBytes() CoreNLPProtos.Mention.Builder
optional string number = 3;
getNumberBytes() CoreNLPProtos.Mention
optional string number = 3;
getNumberBytes() CoreNLPProtos.MentionOrBuilder
optional string number = 3;
getNumberOfKeys() Distribution
getNumberOfTemporalExprs() SUTime.TimeIndex
getNumberOfTemporalFuncs() SUTime.TimeIndex
getNumberOfTemporals() SUTime.TimeIndex
getNumClasses() CRFCliqueTree
getNumClasses() EntityCachingAbstractSequencePriorBIO
get the number of classes in the sequence model.
getNumEdges() DirectedMultiGraph
getNumEdges() Graph
getNumEdges() Lattice
getNumElements() SimpleTensor
Total number of elements in the tensor
getNumEpochs() PairwiseModel
getNumFeatures(Properties, String) CorefProperties
getNumNodes() Lattice
getNumStates() HTKLatticeReader
getNumTrainingExamples() PairwiseModel
getNumTrees(Properties, String) CorefProperties
getNumValues() CRFCliqueTree
getNumVertices() DirectedMultiGraph
getNumVertices() Graph
getNumWeights() CRFClassifier
Returns the total number of weights associated with this classifier.
getObject() CoreNLPProtos.OpenIETriple.Builder
optional string object = 3;
getObject() CoreNLPProtos.OpenIETriple
optional string object = 3;
getObject() CoreNLPProtos.OpenIETripleOrBuilder
optional string object = 3;
getObject(E) BinaryHeapPriorityQueue
Searches for the object in the queue and returns it.
getObjectBytes() CoreNLPProtos.OpenIETriple.Builder
optional string object = 3;
getObjectBytes() CoreNLPProtos.OpenIETriple
optional string object = 3;
getObjectBytes() CoreNLPProtos.OpenIETripleOrBuilder
optional string object = 3;
getObjectId() ExtractionObject
getObjectID() CoreNLPProtos.Entity.Builder
optional string objectID = 1;
getObjectID() CoreNLPProtos.Entity
optional string objectID = 1;
getObjectID() CoreNLPProtos.EntityOrBuilder
optional string objectID = 1;
getObjectID() CoreNLPProtos.Relation.Builder
optional string objectID = 1;
getObjectID() CoreNLPProtos.Relation
optional string objectID = 1;
getObjectID() CoreNLPProtos.RelationOrBuilder
optional string objectID = 1;
getObjectIDBytes() CoreNLPProtos.Entity.Builder
optional string objectID = 1;
getObjectIDBytes() CoreNLPProtos.Entity
optional string objectID = 1;
getObjectIDBytes() CoreNLPProtos.EntityOrBuilder
optional string objectID = 1;
getObjectIDBytes() CoreNLPProtos.Relation.Builder
optional string objectID = 1;
getObjectIDBytes() CoreNLPProtos.Relation
optional string objectID = 1;
getObjectIDBytes() CoreNLPProtos.RelationOrBuilder
optional string objectID = 1;
getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) SGDMinimizer
getObjectiveFunction(int[][][][], int[][]) CRFClassifier
getObjectiveFunction(int[][][][], int[][]) CRFClassifierNoisyLabel
getObjectiveFunction(int[][][][], int[][]) CRFClassifierWithDropout
getObjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 objectSpanBegin = 6;
getObjectSpanBegin() CoreNLPProtos.Operator
required int32 objectSpanBegin = 6;
getObjectSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 objectSpanBegin = 6;
getObjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 objectSpanEnd = 7;
getObjectSpanEnd() CoreNLPProtos.Operator
required int32 objectSpanEnd = 7;
getObjectSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 objectSpanEnd = 7;
getObjectTokens(int) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 objectTokens = 7;
getObjectTokens(int) CoreNLPProtos.OpenIETriple
repeated uint32 objectTokens = 7;
getObjectTokens(int) CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 objectTokens = 7;
getObjectTokensCount() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 objectTokens = 7;
getObjectTokensCount() CoreNLPProtos.OpenIETriple
repeated uint32 objectTokens = 7;
getObjectTokensCount() CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 objectTokens = 7;
getObjectTokensList() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 objectTokens = 7;
getObjectTokensList() CoreNLPProtos.OpenIETriple
repeated uint32 objectTokens = 7;
getObjectTokensList() CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 objectTokens = 7;
getOneSmallerLabel() CRFLabel
getOp() ParserGrammar
getOp() DVParser
getOp() LexicalizedParser
getOp() ShiftReduceParser
getOpenClassTags() TaggerConfig
getOpenieTriple(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTriple(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTriple(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenieTripleOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.OpenIETriple openieTriple = 14;
getOpenTags() TTags
Returns a list of all open class tags
getOperationFromReader(BufferedReader, TregexPatternCompiler) Tsurgeon
Parses a tsurgeon script text input and compiles a tregex pattern and a list
of tsurgeon operations into a pair.
getOperationsFromFile(String, String, TregexPatternCompiler) Tsurgeon
Parses a tsurgeon script file and compiles all operations in the file into a list
of pairs of tregex and tsurgeon patterns.
getOperationsFromReader(BufferedReader, TregexPatternCompiler) Tsurgeon
Parses and compiles all operations from a BufferedReader into a list
of pairs of tregex and tsurgeon patterns.
getOperator() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOperator() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOperator() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOperatorBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOperatorOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOperatorOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOperatorOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Operator operator = 27;
getOptions(StanfordCoreNLP) AnnotationOutputter
Populates options from StanfordCoreNLP pipeline
getOracle(Configuration, DependencyTree) ArcStandard
getOracle(Configuration, DependencyTree) ParsingSystem
Provide a static-oracle recommendation for the next parsing step
to take.
getOrder() BasicSequenceMatchResult
getOrder() MatchedExpression
getOrder() SequenceMatchResult
getOrderedAntecedents(int, int, List<Mention>, List<List<Mention>>, Mention, int, Map<Integer, CorefCluster>, Dictionaries) DeterministicCorefSieve
Orders the antecedents for the given mention (m1)
getOrderedAntecedents(int, int, List<Mention>, List<List<Mention>>, Mention, int, Map<Integer, CorefCluster>, Dictionaries) DeterministicCorefSieve
Orders the antecedents for the given mention (m1)
getOrderedAntecedents(Mention, int, int, List<List<Mention>>, Dictionaries) Sieve
getOrderedMentions() Document
return the list of predicted mentions
getOrderedMentions() Document
return the list of predicted mentions
getOriginal() IndexedWord
getOriginalRef() CoreNLPProtos.Mention.Builder
optional uint32 originalRef = 13;
getOriginalRef() CoreNLPProtos.Mention
optional uint32 originalRef = 13;
getOriginalRef() CoreNLPProtos.MentionOrBuilder
optional uint32 originalRef = 13;
getOriginalSpan(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpan(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpan(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanCount() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanCount() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanCount() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilder(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilder(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilderList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilderList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalText() CoreNLPProtos.Token.Builder
optional string originalText = 7;
getOriginalText() CoreNLPProtos.Token
optional string originalText = 7;
getOriginalText() CoreNLPProtos.TokenOrBuilder
optional string originalText = 7;
getOriginalTextBytes() CoreNLPProtos.Token.Builder
optional string originalText = 7;
getOriginalTextBytes() CoreNLPProtos.Token
optional string originalText = 7;
getOriginalTextBytes() CoreNLPProtos.TokenOrBuilder
optional string originalText = 7;
getOtherSemanticClassesWords() ConstantsAndVariables
getOutDegree(V) DirectedMultiGraph
getOutDegree(V) Graph
getOutEdgesSorted(IndexedWord) SemanticGraph
getOuterMapFactory() TwoDimensionalCounter
getOuterMapFactory() TwoDimensionalIntCounter
getOutgoingEdges(V) DirectedMultiGraph
getOutgoingEdges(V) Graph
for undirected graph, it is just the edges from the node
getOutput() DFSATransition
getOutput() TransducerGraph.Arc
getOutput() CmdEvaluator
getOutputEncoding() AbstractTreebankParserParams
Returns the output encoding being used.
getOutputEncoding() TreebankLangParserParams
Returns the output encoding being used.
getOutputFile() TaggerConfig
getOutputFormat() TaggerConfig
getOutputLemmas() TaggerConfig
getOutputOfPathInGraph(List) TransducerGraph
For testing only.
getOutputOptions() TaggerConfig
getOutputOptionsContains(String) TaggerConfig
getOutputStream() ByteStreamGobbler
getOutputVerbosity() TaggerConfig
getOverlapping(T) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, E) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, E, List<T>) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>, List<T>) IntervalTree
getPad() PaddedList
getParagraph() CoreNLPProtos.Mention.Builder
optional uint32 paragraph = 19;
getParagraph() CoreNLPProtos.Mention
optional uint32 paragraph = 19;
getParagraph() CoreNLPProtos.MentionOrBuilder
optional uint32 paragraph = 19;
getParagraph() CoreNLPProtos.Sentence.Builder
optional uint32 paragraph = 11;
getParagraph() CoreNLPProtos.Sentence
optional uint32 paragraph = 11;
getParagraph() CoreNLPProtos.SentenceOrBuilder
optional uint32 paragraph = 11;
getParamDesc() ValueFunctions.BooleanFunction
getParamDesc() ValueFunctions.CompareFunction
getParamDesc() ValueFunctions.NamedValueFunction
getParamDesc(String, int) ValueFunctions.NamedValueFunction
getParamDesc() ValueFunctions.NumericFunction
getParamDesc() ValueFunctions.StringFunction
getParamDesc() ValueFunctions.TypeCheckedFunction
getParent() AceEntityMention
getParent() AceEventMention
getParent() AceRelationMention
getParent(IndexedWord) SemanticGraph
Return the real syntactic parent of vertex.
getParent() GrammaticalRelation
Returns the parent of this GrammaticalRelation.
getParentList(IndexedWord) SemanticGraph
getParents(V) DirectedMultiGraph
getParents(V) Graph
for undirected graph, it is just the neighbors
getParents() EventMention
If this EventMention is a subevent, this will return the parent event.
getParents(IndexedWord) SemanticGraph
getParentsWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns a set of all parents bearing a certain grammatical relation, or an
empty set if none.
getParse(String, boolean) LexicalizedParserClient
Returns the String output of the parse of the given query.
getParser() GenericDataSetReader
getParserForType() CoreNLPProtos.CorefChain.CorefMention
getParserForType() CoreNLPProtos.CorefChain
getParserForType() CoreNLPProtos.DependencyGraph.Edge
getParserForType() CoreNLPProtos.DependencyGraph
getParserForType() CoreNLPProtos.DependencyGraph.Node
getParserForType() CoreNLPProtos.Document
getParserForType() CoreNLPProtos.Entity
getParserForType() CoreNLPProtos.IndexedWord
getParserForType() CoreNLPProtos.MapIntString
getParserForType() CoreNLPProtos.MapStringString
getParserForType() CoreNLPProtos.Mention
getParserForType() CoreNLPProtos.NERMention
getParserForType() CoreNLPProtos.OpenIETriple
getParserForType() CoreNLPProtos.Operator
getParserForType() CoreNLPProtos.ParseTree
getParserForType() CoreNLPProtos.Polarity
getParserForType() CoreNLPProtos.Quote
getParserForType() CoreNLPProtos.Relation
getParserForType() CoreNLPProtos.Sentence
getParserForType() CoreNLPProtos.SentenceFragment
getParserForType() CoreNLPProtos.Span
getParserForType() CoreNLPProtos.SpeakerInfo
getParserForType() CoreNLPProtos.Timex
getParserForType() CoreNLPProtos.Token
getParserFromFile(String, Options) LexicalizedParser
getParserFromSerializedFile(String) LexicalizedParser
getParserFromTextFile(String, Options) LexicalizedParser
getParserFromTreebank(Treebank, Treebank, double, GrammarCompactor, Options, Treebank, List<List<TaggedWord>>) LexicalizedParser
A method for training from two different treebanks, the second of which is presumed
to be orders of magnitude larger.
getParserQueryEvals() ParserGrammar
Return a list of Eval-style objects which care about the whole
ParserQuery, not just the finished tree
getParserQueryEvals() LexicalizedParser
getParserQueryEvals() ShiftReduceParser
getParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getPartial(Instant, Partial) JodaTimeUtils
getPartNo() CoNLL2011DocumentReader.Document
getPartNo() CoNLLDocumentReader.CoNLLDocument
getPathEvalData(Properties) CorefProperties
getPathInput(Properties) CorefProperties
Input data for CorefDocMaker.
getPathModel(Properties, String) CorefProperties
getPathOutput(Properties) CorefProperties
getPathOutputs(List<List>) TransducerGraph
For testing only.
getPathScorer(Properties) CorefProperties
getPathSerialized(Properties) CorefProperties
getPathSerializedWordVectors(Properties) CorefProperties
getPathSingletonPredictor(Properties) CorefProperties
getPathToRoot(IndexedWord) SemanticGraph
Find the path from the given node to a root.
getPathTrainData(Properties) CorefProperties
getPathWord2Vec(Properties) CorefProperties
getPatsForEachToken() GetPatternsFromDataMultiClass
getPattern() Mention
getPattern(List<AbstractCoreLabel>) Mention
getPattern() Mention
getPattern(List<AbstractCoreLabel>) Mention
getPattern() ComplexNodePattern.SequenceRegexPattern
getPattern() ComplexNodePattern.StringAnnotationRegexPattern
getPattern(String[]) MultiWordStringMatcher
getPattern(String) MultiWordStringMatcher
getPattern() ExtractedPhrase
getPattern() InputPanel.TRegexGUITreeVisitor
getPatternExpr() SequencePattern
getPatterns(String, Set<E>, E, Counter<CandidatePhrase>, Set<E>) GetPatternsFromDataMultiClass
getPatternsAroundTokens(DataInstance, Set<CandidatePhrase>) DepPatternFactory
getPatternsAroundTokens(PatternFactory.PatternType, DataInstance, Set<CandidatePhrase>) PatternFactory
getPatternsAroundTokens(DataInstance, Set<CandidatePhrase>) SurfacePatternFactory
getPatternScoringClass(GetPatternsFromDataMultiClass.PatternScoring) GetPatternsFromDataMultiClass
getPatternsForAllTokens(String) PatternsForEachToken
getPatternsForAllTokens(Collection<String>) PatternsForEachToken
getPatternsForAllTokens(String) PatternsForEachTokenDB
getPatternsForAllTokens(Collection<String>) PatternsForEachTokenDB
getPatternsForAllTokens(String) PatternsForEachTokenInMemory
getPatternsForAllTokens(Collection<String>) PatternsForEachTokenInMemory
GetPatternsFromDataMultiClass E extends Pattern > - Class in edu.stanford.nlp.patterns
Given text and a seed list, this class gives more words like the seed words
by learning surface word or dependency patterns.
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, String) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, Class, String) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, String, Map<String, Class>, Map<Class, Object>) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, Class, String, Map<String, Class>, Map<Class, Object>) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Map<String, Set<CandidatePhrase>>, boolean) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Map<String, Set<CandidatePhrase>>, boolean, Map<String, Class<? extends TypesafeMap.Key<String>>>) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Map<String, Set<CandidatePhrase>>, boolean, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) GetPatternsFromDataMultiClass
generalize classes basically maps label strings to a map of generalized
strings and the corresponding class ignoreClasses have to be boolean
GetPatternsFromDataMultiClass.Flags edu.stanford.nlp.patterns
GetPatternsFromDataMultiClass.LabelWithSeedWords edu.stanford.nlp.patterns
Warning: sets labels of words that are not in the given seed set as O!!!
GetPatternsFromDataMultiClass.PatternScoring edu.stanford.nlp.patterns
RlogF is from Riloff 1996, when R's denominator is (pos+neg+unlabeled)
getPatternsInstance(Properties, ConstantsAndVariables.PatternForEachTokenWay) PatternsForEachToken
getPCFGParser() ParserQuery
getPCFGParser() LexicalizedParserQuery
getPCFGParser() RerankingParserQuery
getPCFGParser() ShiftReduceParserQuery
getPCFGScore() ParserQuery
getPCFGScore() LexicalizedParserQuery
getPCFGScore() RerankingParserQuery
getPCFGScore() ShiftReduceParserQuery
getPercentCorrect() Classifier.Cost
getPeriod() SUTime.CompositePartialTime
getPeriod() SUTime.Duration
getPeriod() SUTime.PartialTime
getPeriod() SUTime.PeriodicTemporalSet
getPeriod() SUTime.StandardTemporalType
getPeriod() SUTime.Temporal
getPeriod() SUTime.TimeUnit
getPerson() CoreNLPProtos.Mention.Builder
optional string person = 6;
getPerson() CoreNLPProtos.Mention
optional string person = 6;
getPerson() CoreNLPProtos.MentionOrBuilder
optional string person = 6;
getPersonBytes() CoreNLPProtos.Mention.Builder
optional string person = 6;
getPersonBytes() CoreNLPProtos.Mention
optional string person = 6;
getPersonBytes() CoreNLPProtos.MentionOrBuilder
optional string person = 6;
getPerturbedDistribution(Counter<E>, Random) Distribution
getPerturbedUniformDistribution(Collection<E>, Random) Distribution
getPhrase() PhraseTable.PhraseMatch
getPhrase() CandidatePhrase
getPhraseLemma() CandidatePhrase
getPhraseWeightFromWords(Counter<CandidatePhrase>, CandidatePhrase, double) PhraseScorer
getPID() SystemUtils
Returns the process ID, via an awful hack.
getPIDNoExceptions() SystemUtils
Returns the process ID, via an awful hack, or else -1.
getPipeline(Properties, boolean) SUTimeMain
getPlaceHolder(int, U) ConfusionMatrix
getPMIThres(Properties, String) CorefProperties
getPolarity() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPolarity() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPolarity() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPolarityBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPolarityOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPolarityOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPolarityOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Polarity polarity = 28;
getPos() AceToken
getPOS(int) Configuration
getPos() CoreNLPProtos.Token.Builder
optional string pos = 2;
getPos() CoreNLPProtos.Token
optional string pos = 2;
getPos() CoreNLPProtos.TokenOrBuilder
optional string pos = 2;
getPosBytes() CoreNLPProtos.Token.Builder
optional string pos = 2;
getPosBytes() CoreNLPProtos.Token
optional string pos = 2;
getPosBytes() CoreNLPProtos.TokenOrBuilder
optional string pos = 2;
getPOSDistribution() ChineseCharacterBasedLexicon
getPosID(String) DependencyParser
getPosition() Mention
getPosition() Mention
getPosition() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 position = 11;
getPosition() CoreNLPProtos.CorefChain.CorefMention
optional uint32 position = 11;
getPosition() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 position = 11;
getPositions(FeatureKey) TemplateHash
getPossibleValues(int) CRFCliqueTree
getPossibleValues(int) TestSequenceModel
getPossibleValues(int) EntityCachingAbstractSequencePriorBIO
getPossibleValues(int) FactoredSequenceModel
Return the valid sequence labels (as integer indices) for a particular
position in the sequence.
getPossibleValues(int) SequenceModel
Return the valid sequence labels (as integer indices) for a particular
position in the sequence.
getPossibleValues(int) TestSentence
getPostmodifiers() Mention
getPostmodifiers() Mention
getPrecision() CorefScorer
getPrecision() EvalUtils.AbstractEvaluator
getPrecision(L) MultiClassPrecisionRecallStats
getPrecision() MultiClassPrecisionRecallStats
getPrecision() PrecisionRecallStats
Returns the current precision: tp/(tp+fp) .
getPrecisionDescription(int) MultiClassPrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getPrecisionDescription(int, L) MultiClassPrecisionRecallStats
getPrecisionDescription(int) PrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getPrecisionInfo(L) MultiClassPrecisionRecallStats
Returns the current precision: tp/(tp+fp) .
getPrecisionInfo() MultiClassPrecisionRecallStats
getPredicateNominatives(int) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
getPredicateNominatives(int) CoreNLPProtos.Mention
repeated int32 predicateNominatives = 55;
getPredicateNominatives(int) CoreNLPProtos.MentionOrBuilder
repeated int32 predicateNominatives = 55;
getPredicateNominativesCount() CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
getPredicateNominativesCount() CoreNLPProtos.Mention
repeated int32 predicateNominatives = 55;
getPredicateNominativesCount() CoreNLPProtos.MentionOrBuilder
repeated int32 predicateNominatives = 55;
getPredicateNominativesList() CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
getPredicateNominativesList() CoreNLPProtos.Mention
repeated int32 predicateNominatives = 55;
getPredicateNominativesList() CoreNLPProtos.MentionOrBuilder
repeated int32 predicateNominatives = 55;
getPredictedClass(Tree) RNNCoreAnnotations
Return as an int the predicted class.
getPredictionError(Tree) RNNCoreAnnotations
getPredictions() MachineReading
getPredictions(Tree) RNNCoreAnnotations
getPreferredSize() ScrollableTreeJPanel
getPrefix() AceDocument
getPrefixBe() CoreNLPProtos.OpenIETriple.Builder
optional bool prefixBe = 10;
getPrefixBe() CoreNLPProtos.OpenIETriple
optional bool prefixBe = 10;
getPrefixBe() CoreNLPProtos.OpenIETripleOrBuilder
optional bool prefixBe = 10;
getPrefixesAndSuffixes(List<T>, int, int, T, boolean, boolean) CollectionUtils
Get all prefix/suffix combinations from a list.
getPremodifierContext() Mention
getPremodifierContext() Mention
getPremodifiers() Mention
getPremodifiers() Mention
getPrep(String) EnglishGrammaticalRelations
The "prep" grammatical relation.
getPrepC(String) EnglishGrammaticalRelations
The "prepc" grammatical relation.
getPreprocessedTerms(int) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTerms(int) CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTerms(int) CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreprocessedTermsBytes(int) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTermsBytes(int) CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTermsBytes(int) CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreprocessedTermsCount() CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTermsCount() CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTermsCount() CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreprocessedTermsList() CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTermsList() CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTermsList() CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreps() EnglishGrammaticalRelations
getPrepsC() EnglishGrammaticalRelations
getPreTerminal(Tree, int) Trees
gets the nth preterminal in tree.
getPrettyPrint() StanfordCoreNLP
If true, signal for outputters to pretty-print the output.
getPrevContext() SurfacePattern
getPrevContextStr() SurfacePattern
getPreviousContextLen() SurfacePattern
getPrintSingletons() StanfordCoreNLP
getPrintWriter(File) IOUtils
getPrintWriter(File, String) IOUtils
getPrintWriter(String) IOUtils
getPrintWriter(String, String) IOUtils
getPrintWriterIgnoringExceptions(String) IOUtils
getPrintWriterOrDie(String) IOUtils
getPriority() MatchedExpression
getPriority() SequencePattern
getPriority() BinaryHeapPriorityQueue
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
getPriority(E) BinaryHeapPriorityQueue
Get the priority of a key.
getPriority(Object) FixedPrioritiesPriorityQueue
Note that this method will be linear (not constant) time in this
implementation! Better not to use it.
getPriority() FixedPrioritiesPriorityQueue
Gets the priority of the highest-priority element of the queue.
getPriority() PriorityQueue
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
getPriority(E) PriorityQueue
Get the priority of a key.
getPriorType(String) CRFLogConditionalObjectiveFunction
getPriorType(String) CRFNonLinearLogConditionalObjectiveFunction
getPriorType(String) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
getProbabilities() SimpleGoodTuring
Returns the probabilities allocated to each type, according to their count
in the underlying collection.
getProbabilityForUnseen() SimpleGoodTuring
Returns the probability allocated to types not seen in the underlying
collection.
getProcessor() InterruptibleMulticoreWrapper
getProjectAlternation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
getProjectAlternation() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
getProjectAlternation() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
getProjectCover() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
getProjectCover() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
getProjectCover() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
getProjectEquivalence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
getProjectEquivalence() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
getProjectEquivalence() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
getProjectForwardEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
getProjectForwardEntailment() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
getProjectForwardEntailment() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
getProjectIndependence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
getProjectIndependence() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
getProjectIndependence() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
getProjectNegation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
getProjectNegation() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
getProjectNegation() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
getProjectReverseEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
getProjectReverseEntailment() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
getProjectReverseEntailment() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
getProperties() StanfordCoreNLP
Fetches the Properties object used to construct this Annotator
getPunctClass(String) PunctEquivalenceClasser
Return the equivalence class of the argument.
getQuantification(Dictionaries) Mention
getQuantification(Dictionaries) Mention
getQuantifierSpanBegin() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanBegin = 2;
getQuantifierSpanBegin() CoreNLPProtos.Operator
required int32 quantifierSpanBegin = 2;
getQuantifierSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 quantifierSpanBegin = 2;
getQuantifierSpanEnd() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanEnd = 3;
getQuantifierSpanEnd() CoreNLPProtos.Operator
required int32 quantifierSpanEnd = 3;
getQuantifierSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 quantifierSpanEnd = 3;
getQueueLabel(State, int) FeatureFactory
getQueueLabel(List<Tree>, int, int) FeatureFactory
getQuotationIndex() CoreNLPProtos.Token.Builder
optional int32 quotationIndex = 31;
getQuotationIndex() CoreNLPProtos.Token
optional int32 quotationIndex = 31;
getQuotationIndex() CoreNLPProtos.TokenOrBuilder
optional int32 quotationIndex = 31;
getQuote(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuote(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuote(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteComparator() QuoteAnnotator
getQuoteCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuotes(String) QuoteAnnotator
getRadical(char) RadicalMap
What is the primary radical of this char?
getRadius(Interval<Integer>) Interval
getRandomBoolean(Random, double) LearnImportantFeatures
getRandomSequence(SequenceModel) SequenceGibbsSampler
getRandomSubDataset(double, int) Dataset
getRange(int, SUTime.Duration) JollyDayHolidays.JollyHoliday
getRange(int, SUTime.Duration) SUTime.CompositePartialTime
getRange(int, SUTime.Duration) SUTime.Duration
getRange(int, SUTime.Duration) SUTime.ExplicitTemporalSet
getRange(int, SUTime.Duration) SUTime.GroundedTime
getRange(int, SUTime.Duration) SUTime.InexactTime
getRange(int, SUTime.Duration) SUTime.PartialTime
getRange(int, SUTime.Duration) SUTime.PeriodicTemporalSet
getRange(int, SUTime.Duration) SUTime.Range
getRange(int, SUTime.Duration) SUTime.RelativeTime
getRange() SUTime.Temporal
getRange(int) SUTime.Temporal
getRange(int, SUTime.Duration) SUTime.Temporal
getRange(int, SUTime.Duration) SUTime.Time
getRange(int, SUTime.Duration) SUTime.TimeWithRange
getRange() Timex
Gets two Calendars, marking the beginning and ending of this Timex's range.
getRange(Timex) Timex
Gets two Calendars, marking the beginning and ending of this Timex's range.
getRareWordMinFeatureThresh() TaggerConfig
getRareWordThresh() TaggerConfig
getRawByteEnd() AceToken
getRawByteOffset() AceToken
getRawByteStart() AceToken
getReader() MachineReading
getReader() DocumentReader
Returns the reader for the text input source of this DocumentReader.
getReader(String) DocumentReader
Returns a Reader that reads in the given text.
getReader(File) DocumentReader
Returns a Reader that reads in the given file.
getReader(URL) DocumentReader
Returns a Reader that reads in the given URL.
getReader(InputStream) DocumentReader
Returns a Reader that reads in the given InputStream.
getRecall() CorefScorer
getRecall() EvalUtils.AbstractEvaluator
getRecall(L) MultiClassPrecisionRecallStats
getRecall() MultiClassPrecisionRecallStats
getRecall() PrecisionRecallStats
Returns the current recall: tp/(tp+fn) .
getRecallDescription(int) MultiClassPrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getRecallDescription(int, L) MultiClassPrecisionRecallStats
getRecallDescription(int) PrecisionRecallStats
Returns a String summarizing recall that will print nicely.
getRecallInfo(L) MultiClassPrecisionRecallStats
getRecallInfo() MultiClassPrecisionRecallStats
getRecentDependent(TreeShapedStack<Tree>, FeatureFactory.Transition, int) FeatureFactory
getRegex(String[]) MultiWordStringMatcher
getRegex(String) MultiWordStringMatcher
getRegL1() TaggerConfig
getRegularizerParamRange(double[]) CRFNonLinearLogConditionalObjectiveFunction
getRegularizerParamRange(double[]) HasRegularizerParamRange
getRelatedNodes(TreeGraphNode, TreeGraphNode, HeadFinder) GrammaticalRelation
Given a Tree node t, attempts to
return a list of nodes to which node t has this
grammatical relation, with t as the governor.
getRelation() Mention
getRelation() Mention
getRelation(String) AceDocument
getRelation(RelationMentionFactory, CoreMap, ExtractionObject...) AnnotationUtils
Return the relation that holds between the given entities.
getRelation() CoreNLPProtos.OpenIETriple.Builder
optional string relation = 2;
getRelation() CoreNLPProtos.OpenIETriple
optional string relation = 2;
getRelation() CoreNLPProtos.OpenIETripleOrBuilder
optional string relation = 2;
getRelation(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelation(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelation(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelation() SemanticGraphEdge
getRelation(Interval<E>) FuzzyInterval
getRelation(Interval<E>) Interval
Returns the relationship of this interval to the other interval
The most specific relationship from the following is returned.
getRelationBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationBytes() CoreNLPProtos.OpenIETriple.Builder
optional string relation = 2;
getRelationBytes() CoreNLPProtos.OpenIETriple
optional string relation = 2;
getRelationBytes() CoreNLPProtos.OpenIETripleOrBuilder
optional string relation = 2;
getRelationCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationFlags(Interval<E>) FuzzyInterval
getRelationFlags(Interval<E>) Interval
Return set of flags indicating possible relationships between
this interval and another interval.
getRelationList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationMention(String) AceDocument
getRelationMentions(int) AceDocument
getRelationMentions() AceDocument
getRelationMentions() AceEntityMention
getRelationMentions(CoreMap) AnnotationUtils
getRelationNames() SemgrexMatcher
Returns the set of names for named relations in this pattern.
getRelationOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationResultsPrinterSet() MachineReading
getRelations(RelationMentionFactory, CoreMap, ExtractionObject...) AnnotationUtils
Return all the relations that holds between the given entities.
getRelationTokens(int) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 relationTokens = 6;
getRelationTokens(int) CoreNLPProtos.OpenIETriple
repeated uint32 relationTokens = 6;
getRelationTokens(int) CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 relationTokens = 6;
getRelationTokensCount() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 relationTokens = 6;
getRelationTokensCount() CoreNLPProtos.OpenIETriple
repeated uint32 relationTokens = 6;
getRelationTokensCount() CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 relationTokens = 6;
getRelationTokensList() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 relationTokens = 6;
getRelationTokensList() CoreNLPProtos.OpenIETriple
repeated uint32 relationTokens = 6;
getRelationTokensList() CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 relationTokens = 6;
getRelativePronouns(int) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
getRelativePronouns(int) CoreNLPProtos.Mention
repeated int32 relativePronouns = 56;
getRelativePronouns(int) CoreNLPProtos.MentionOrBuilder
repeated int32 relativePronouns = 56;
getRelativePronounsCount() CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
getRelativePronounsCount() CoreNLPProtos.Mention
repeated int32 relativePronouns = 56;
getRelativePronounsCount() CoreNLPProtos.MentionOrBuilder
repeated int32 relativePronouns = 56;
getRelativePronounsList() CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
getRelativePronounsList() CoreNLPProtos.Mention
repeated int32 relativePronouns = 56;
getRelativePronounsList() CoreNLPProtos.MentionOrBuilder
repeated int32 relativePronouns = 56;
getRelevant(L) MultiClassPrecisionRecallExtendedStats
getRelevant() MultiClassPrecisionRecallExtendedStats
getRelevantWords() DepPattern
getRelevantWords() Pattern
getRelevantWords() SurfacePattern
getRelevantWordsBase(Token[], CollectionValuedMap<String, String>) Pattern
getRelevantWordsBase(Token, CollectionValuedMap<String, String>) Pattern
getRelnString(String) SemgrexMatcher
getRemaining1() SemanticGraphUtils.EdgeDiffResult
getRemaining2() SemanticGraphUtils.EdgeDiffResult
getReportEmbedding(Dictionaries) Mention
getReportEmbedding(Dictionaries) Mention
getRepresentative() CoreNLPProtos.CorefChain.Builder
required uint32 representative = 3;
getRepresentative() CoreNLPProtos.CorefChain
required uint32 representative = 3;
getRepresentative() CoreNLPProtos.CorefChainOrBuilder
required uint32 representative = 3;
getRepresentativeMention() CorefChain
Return the most representative mention in the chain.
getRepresentativeMention() CorefCluster
getRepresentativeMention() CorefChain
Return the most representative mention in the chain.
getRepresentativeMention() CorefCluster
getReservedMass() Distribution
getRetrieved(L) MultiClassPrecisionRecallExtendedStats
getRetrieved() MultiClassPrecisionRecallExtendedStats
getReverseMap() ChineseEnglishWordMap
Returns a reversed map of the current map.
getRho(int) QNMinimizer.QNInfo
getRightChild(int, int) Configuration
getRightChild(int) Configuration
getRightLabelSet(int) Configuration
getRightmostNode(IntervalTree.TreeNode<E, T>) IntervalTree
getRightValency(int) Configuration
getRole() AceMentionArgument
getRoles() AceEventMention
getRoot(int) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
getRoot(int) CoreNLPProtos.DependencyGraph
repeated uint32 root = 3 [packed = true];
getRoot(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated uint32 root = 3 [packed = true];
getRoot() CoreNLPProtos.SentenceFragment.Builder
optional uint32 root = 2;
getRoot() CoreNLPProtos.SentenceFragment
optional uint32 root = 2;
getRoot() CoreNLPProtos.SentenceFragmentOrBuilder
optional uint32 root = 2;
getRoot() FileTreeModel
getRootCount() CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
getRootCount() CoreNLPProtos.DependencyGraph
repeated uint32 root = 3 [packed = true];
getRootCount() CoreNLPProtos.DependencyGraphOrBuilder
repeated uint32 root = 3 [packed = true];
getRootList() CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
getRootList() CoreNLPProtos.DependencyGraph
repeated uint32 root = 3 [packed = true];
getRootList() CoreNLPProtos.DependencyGraphOrBuilder
repeated uint32 root = 3 [packed = true];
getRoots() SemanticGraph
getRoots(Collection<TypedDependency>) GrammaticalStructure
Return a list of TypedDependencies which are not dependent on any node from the list.
getRule(UnaryRule) UnaryGrammar
getRVFDatum(int) Dataset
getRVFDatum(int) GeneralDataset
getRVFDatum(int) RVFDataset
getRVFDatumId(int) RVFDataset
getRVFDatumSource(int) RVFDataset
getRVFDatumWithId(int) RVFDataset
getS(int) QNMinimizer.QNInfo
getSameEdges() SemanticGraphUtils.EdgeDiffResult
getSample(int) AbstractStochasticCachingDiffUpdateFunction
Gets a random sample (this is sampling with replacement).
getSampler(List<IN>) AbstractSequenceClassifier
getScore(CorefScorer.SubScoreType) CorefScorer
getScore() CoreNLPProtos.ParseTree.Builder
optional double score = 5;
getScore() CoreNLPProtos.ParseTree
optional double score = 5;
getScore() CoreNLPProtos.ParseTreeOrBuilder
optional double score = 5;
getScore() CoreNLPProtos.SentenceFragment.Builder
optional double score = 4;
getScore() CoreNLPProtos.SentenceFragment
optional double score = 4;
getScore() CoreNLPProtos.SentenceFragmentOrBuilder
optional double score = 4;
getScore(List<List<Integer>>, Map<Integer, List<Integer>>) EvalUtils.AbstractEvaluator
getScore(List<List<Integer>>, Map<Integer, List<Integer>>) EvalUtils.B3Evaluator
getScore(List<List<Integer>>, Map<Integer, List<Integer>>) EvalUtils.MUCEvaluator
getScore() Alignment
getScore() DeepTree
getScorer() SVMLightClassifierFactory
getScoreWForNode(Tree) DVModel
getSearch() TaggerConfig
getSecondKey() TwoDimensionalMap.Entry
getSeed(Properties) CorefProperties
getSeedLabelDictionary() ConstantsAndVariables
getSegmenterDataFromFile(String, Options) ChineseLexiconAndWordSegmenter
getSegmenterDataFromSerializedFile(String) ChineseLexiconAndWordSegmenter
getSelectedMatch() MatchesPanel
Get the selected tree and its corresponding matched parts
getSemGrexPatternNodes(SemanticGraph, List<String>, Collection<String>, Collection<IntPair>, SemgrexPattern, boolean, Collection<ExtractedPhrase>, boolean, Function<CoreLabel, Boolean>) ExtractPhraseFromPattern
getSentAveF1() AbstractEval
getSentence(int) AceDocument
getSentence(AceDocument) AceRelationMention
Fetches the id of the sentence that contains this mention
getSentence() AceToken
getSentence(CoreMap, int) AnnotationUtils
getSentence() ExtractionObject
getSentence(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentence(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentence(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceBegin() CoreNLPProtos.Quote.Builder
optional uint32 sentenceBegin = 5;
getSentenceBegin() CoreNLPProtos.Quote
optional uint32 sentenceBegin = 5;
getSentenceBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 sentenceBegin = 5;
getSentenceBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceCount() AceDocument
getSentenceCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceDelimiter() TaggerConfig
This returns the sentence delimiter used when tokenizing text
using the tokenizer requested in this config.
getSentenceEnd() CoreNLPProtos.Quote.Builder
optional uint32 sentenceEnd = 6;
getSentenceEnd() CoreNLPProtos.Quote
optional uint32 sentenceEnd = 6;
getSentenceEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 sentenceEnd = 6;
getSentenceID() CoreNLPProtos.Sentence.Builder
optional string sentenceID = 58;
getSentenceID() CoreNLPProtos.Sentence
optional string sentenceID = 58;
getSentenceID() CoreNLPProtos.SentenceOrBuilder
optional string sentenceID = 58;
getSentenceId() TreeFromFile
getSentenceIDBytes() CoreNLPProtos.Sentence.Builder
optional string sentenceID = 58;
getSentenceIDBytes() CoreNLPProtos.Sentence
optional string sentenceID = 58;
getSentenceIDBytes() CoreNLPProtos.SentenceOrBuilder
optional string sentenceID = 58;
getSentenceIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 sentenceIndex = 10;
getSentenceIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 sentenceIndex = 10;
getSentenceIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 sentenceIndex = 10;
getSentenceIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.DependencyGraph.Node
required uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.DependencyGraph.NodeOrBuilder
required uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.NERMention.Builder
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.NERMention
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.Sentence.Builder
optional uint32 sentenceIndex = 4;
getSentenceIndex() CoreNLPProtos.Sentence
optional uint32 sentenceIndex = 4;
getSentenceIndex() CoreNLPProtos.SentenceOrBuilder
optional uint32 sentenceIndex = 4;
getSentencelessToken(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessToken(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessToken(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentencelessTokenOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token sentencelessToken = 5;
getSentenceList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceNum() CoreNLPProtos.IndexedWord.Builder
optional uint32 sentenceNum = 1;
getSentenceNum() CoreNLPProtos.IndexedWord
optional uint32 sentenceNum = 1;
getSentenceNum() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 sentenceNum = 1;
getSentenceOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentences() AceDocument
getSentences(Map<E, Set<String>>) ScorePhrases
getSentenceSize() Configuration
getSentenceWordLists() CoNLL2011DocumentReader.Document
getSentenceWordLists() CoNLLDocumentReader.CoNLLDocument
getSentenceWords(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWords(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWords(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsCount() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsCount() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsCount() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilder(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilder(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilderList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilderList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentiment() CoreNLPProtos.ParseTree.Builder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
getSentiment() CoreNLPProtos.ParseTree
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
getSentiment() CoreNLPProtos.ParseTreeOrBuilder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
getSentiment() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
getSentiment() CoreNLPProtos.Sentence
optional string sentiment = 33;
getSentiment() CoreNLPProtos.SentenceOrBuilder
optional string sentiment = 33;
getSentiment() CoreNLPProtos.Token.Builder
optional string sentiment = 30;
getSentiment() CoreNLPProtos.Token
optional string sentiment = 30;
getSentiment() CoreNLPProtos.TokenOrBuilder
optional string sentiment = 30;
getSentimentBytes() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
getSentimentBytes() CoreNLPProtos.Sentence
optional string sentiment = 33;
getSentimentBytes() CoreNLPProtos.SentenceOrBuilder
optional string sentiment = 33;
getSentimentBytes() CoreNLPProtos.Token.Builder
optional string sentiment = 30;
getSentimentBytes() CoreNLPProtos.Token
optional string sentiment = 30;
getSentimentBytes() CoreNLPProtos.TokenOrBuilder
optional string sentiment = 30;
getSentNum() CoreNLPProtos.Mention.Builder
optional uint32 sentNum = 17;
getSentNum() CoreNLPProtos.Mention
optional uint32 sentNum = 17;
getSentNum() CoreNLPProtos.MentionOrBuilder
optional uint32 sentNum = 17;
getSequenceMatchResultExtractor() Env
getSequenceModel(List<IN>) AbstractSequenceClassifier
getSequenceModel(List<IN>) CRFClassifier
getSequenceModel(List<IN>) CMMClassifier
getSequencePatternExpr(String, boolean) Env
getSerializedSize() CoreNLPProtos.CorefChain.CorefMention
getSerializedSize() CoreNLPProtos.CorefChain
getSerializedSize() CoreNLPProtos.DependencyGraph.Edge
getSerializedSize() CoreNLPProtos.DependencyGraph
getSerializedSize() CoreNLPProtos.DependencyGraph.Node
getSerializedSize() CoreNLPProtos.Document
getSerializedSize() CoreNLPProtos.Entity
getSerializedSize() CoreNLPProtos.IndexedWord
getSerializedSize() CoreNLPProtos.MapIntString
getSerializedSize() CoreNLPProtos.MapStringString
getSerializedSize() CoreNLPProtos.Mention
getSerializedSize() CoreNLPProtos.NERMention
getSerializedSize() CoreNLPProtos.OpenIETriple
getSerializedSize() CoreNLPProtos.Operator
getSerializedSize() CoreNLPProtos.ParseTree
getSerializedSize() CoreNLPProtos.Polarity
getSerializedSize() CoreNLPProtos.Quote
getSerializedSize() CoreNLPProtos.Relation
getSerializedSize() CoreNLPProtos.Sentence
getSerializedSize() CoreNLPProtos.SentenceFragment
getSerializedSize() CoreNLPProtos.Span
getSerializedSize() CoreNLPProtos.SpeakerInfo
getSerializedSize() CoreNLPProtos.Timex
getSerializedSize() CoreNLPProtos.Token
getSetWordsAsJson(Map<String, Counter<CandidatePhrase>>) ConstantsAndVariables
getSGML() TaggerConfig
getShortClassName(Object) StringUtils
Returns a short class name for an object.
getShortestDirectedPathEdges(IndexedWord, IndexedWord) SemanticGraph
getShortestDirectedPathNodes(IndexedWord, IndexedWord) SemanticGraph
Returns the shortest directed path between two edges in the graph.
getShortestPath(Graph<V, E>, V, V, boolean) DijkstraShortestPath
getShortestPath(V, V) DirectedMultiGraph
direction insensitive (the paths can go "up" or through the parents)
getShortestPath(V, V, boolean) DirectedMultiGraph
can specify the direction sensitivity
getShortestPathEdges(V, V) DirectedMultiGraph
getShortestPathEdges(V, V, boolean) DirectedMultiGraph
getShortestUndirectedPathEdges(IndexedWord, IndexedWord) SemanticGraph
getShortestUndirectedPathNodes(IndexedWord, IndexedWord) SemanticGraph
Returns the nodes in the shortest undirected path between two edges in the
graph.
getShortName() GrammaticalRelation
getSiblings(IndexedWord) SemanticGraph
Method for getting the siblings of a particular node.
getSieves(Properties) CorefProperties
getSigma() LinearClassifierFactory
getSigma() LogPrior
getSigmaSquared() LogPrior
getSigmaSquared() TaggerConfig
getSigmaSquaredM() LogPrior
getSignature() RelationMention
getSignature(String, int) ArabicUnknownWordModel
6-9 were added for Arabic.
getSignature(String, int) BaseUnknownWordModel
Signature for a specific word; loc parameter is ignored.
getSignature(String, int) ChineseUnknownWordModel
getSignature(String, int) EnglishUnknownWordModel
This routine returns a String that is the "signature" of the class of a
word.
getSignature(String, int) FrenchUnknownWordModel
TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) SpanishUnknownWordModel
TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) UnknownWordModel
This routine returns a String that is the "signature" of the class of a
word.
getSignature() CoreNLPProtos.Relation.Builder
optional string signature = 8;
getSignature() CoreNLPProtos.Relation
optional string signature = 8;
getSignature() CoreNLPProtos.RelationOrBuilder
optional string signature = 8;
getSignature(String, Properties, PropertiesUtils.Property[]) PropertiesUtils
getSignature(String, Properties) PropertiesUtils
getSignatureBytes() CoreNLPProtos.Relation.Builder
optional string signature = 8;
getSignatureBytes() CoreNLPProtos.Relation
optional string signature = 8;
getSignatureBytes() CoreNLPProtos.RelationOrBuilder
optional string signature = 8;
getSignatureIndex(int, int, String) ArabicUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) BaseUnknownWordModel
getSignatureIndex(int, int, String) EnglishUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) FrenchUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) SpanishUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) UnknownWordModel
Returns an unknown word signature as an integer index rather than as a String.
getSimple() Token
getSimplerTokens(Token[]) SurfacePattern
getSimplerTokensNext() SurfacePattern
getSimplerTokensPrev() SurfacePattern
getSingleParent(CoreMap) EventMention
getSingletonFeatures(Dictionaries) Mention
Returns the features used by the singleton predictor (logistic
classifier) to decide whether the mention belongs to a singleton entity
getSingletonFeatures(Dictionaries) Mention
Returns the features used by the singleton predictor (logistic
classifier) to decide whether the mention belongs to a singleton entity
getSingletonPredictorFromSerializedFile(String) SieveCoreferenceSystem
getSingletonPredictorFromSerializedFile(String) CorefDocMaker
getSize() PairsHolder
getSize() ReadDataTagged
Returns the number of tokens in the data read, which is the number of words
plus one end sentence token per sentence.
getSize() TTags
getSkipAntecedentType(Properties) CorefProperties
getSkipMentionType(Properties) CorefProperties
getSlice(int) SimpleTensor
Returns the SimpleMatrix at slice.
getSmallerLabel(int) CRFLabel
getSortedEntries(Properties) PropertiesUtils
getSortedMentions(Document) StatisticalCorefUtils
getSource() DFSATransition
getSource() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 source = 1;
getSource() CoreNLPProtos.DependencyGraph.Edge
required uint32 source = 1;
getSource() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
required uint32 source = 1;
getSource() SemanticGraphEdge
getSource() IntPair
Return the first element of the pair
getSource() IntQuadruple
getSource() IntTriple
getSource() IntUni
getSourceCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 sourceCopy = 5;
getSourceCopy() CoreNLPProtos.DependencyGraph.Edge
optional uint32 sourceCopy = 5;
getSourceCopy() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional uint32 sourceCopy = 5;
getSourceNode() TransducerGraph.Arc
getSpan(ExtractionObject...) ExtractionObject
Returns the smallest span that covers the extent of all these objects
getSpan(List<CoreLabel>, Function<CoreLabel, Integer>, Function<CoreLabel, Integer>) RelationTriple
getSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpan() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpan() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpan() Tree
Returns SpanAnnotation of this node, or null if annotation is not assigned.
getSpanBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpanOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpanOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpanOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span span = 29;
getSpeaker() CoreNLPProtos.Token.Builder
optional string speaker = 14;
getSpeaker() CoreNLPProtos.Token
optional string speaker = 14;
getSpeaker() CoreNLPProtos.TokenOrBuilder
optional string speaker = 14;
getSpeakerBytes() CoreNLPProtos.Token.Builder
optional string speaker = 14;
getSpeakerBytes() CoreNLPProtos.Token
optional string speaker = 14;
getSpeakerBytes() CoreNLPProtos.TokenOrBuilder
optional string speaker = 14;
getSpeakerClusterId(Document, String) Rules
Given the name of a speaker, returns the coref cluster id it belongs to (-1 if no cluster)
getSpeakerClusterId(Document, String) Rules
Given the name of a speaker, returns the coref cluster id it belongs to (-1 if no cluster)
getSpeakerDesc() SpeakerInfo
getSpeakerDesc() SpeakerInfo
getSpeakerInfo(String) Document
getSpeakerInfo(String) Document
getSpeakerInfo() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfo() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfo() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerName() SpeakerInfo
getSpeakerName() SpeakerInfo
getSpeakerName() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
getSpeakerName() CoreNLPProtos.SpeakerInfo
optional string speakerName = 1;
getSpeakerName() CoreNLPProtos.SpeakerInfoOrBuilder
optional string speakerName = 1;
getSpeakerNameBytes() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
getSpeakerNameBytes() CoreNLPProtos.SpeakerInfo
optional string speakerName = 1;
getSpeakerNameBytes() CoreNLPProtos.SpeakerInfoOrBuilder
optional string speakerName = 1;
getSpeakerNameStrings() SpeakerInfo
getSpeakerNameStrings() SpeakerInfo
getSpecific() GrammaticalRelation
getSplit() FastExactAutomatonMinimizer
getSplitCategories(Treebank, double, TreebankLanguagePack) ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitCategories(Treebank, boolean, int, double, double, TreebankLanguagePack) ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitPattern() Mention
getSplitPattern() Mention
getStack(int) Configuration
Get the sentence index of the kth word on the stack.
getStackLabel(TreeShapedStack<Tree>, int, FeatureFactory.Transition...) FeatureFactory
getStackSize() Configuration
getStandardTemporalType() SUTime.Temporal
getStart() RobustTokenizer.WordToken
getStartDate() ISODateInstance
Returns this date or if it is a range,
the date the range starts.
getStartIndex() CoreNLPProtos.Mention.Builder
optional uint32 startIndex = 7;
getStartIndex() CoreNLPProtos.Mention
optional uint32 startIndex = 7;
getStartIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 startIndex = 7;
getStartNode() TransducerGraph
getStartWordVector() Embedding
getStartWordVector() DVModel
getStateSplitCount(Tree) SplittingGrammarExtractor
getStateSplitCount(String) SplittingGrammarExtractor
getStopProb(IntDependency) MLEDependencyGrammar
Return the probability (as a real number between 0 and 1) of stopping
rather than generating another argument at this position.
getStopWords() ConstantsAndVariables
getStoreWay() PatternsForEachToken
getStr() Configuration
getString(Class<KEY>) AbstractCoreLabel
Return a non-null String value for a key.
getString(Class<KEY>, String) AbstractCoreLabel
getString(Class<KEY>) CoreLabel
Return a non-null String value for a key.
getString(Class<KEY>, String) CoreLabel
getString(Class<KEY>) IndexedWord
getString(Class<KEY>, String) IndexedWord
getString() ComplexNodePattern.StringAnnotationPattern
getString(Properties, String, String) PropertiesUtils
Load an integer property.
getStringArray(Properties, String) PropertiesUtils
Loads a comma-separated list of strings from Properties.
getStringArray(Properties, String, String[]) PropertiesUtils
getStringMatchResultExtractor() Env
getStringPattern(String) Env
getStringRepresentationComparator() Comparators
A Comparator that compares objects by comparing their
String representations, as determined by invoking
toString() on the objects in question.
getSubgraphVertices(IndexedWord) SemanticGraph
Returns all nodes reachable from root.
getSubject() CoreNLPProtos.OpenIETriple.Builder
optional string subject = 1;
getSubject() CoreNLPProtos.OpenIETriple
optional string subject = 1;
getSubject() CoreNLPProtos.OpenIETripleOrBuilder
optional string subject = 1;
getSubjectBytes() CoreNLPProtos.OpenIETriple.Builder
optional string subject = 1;
getSubjectBytes() CoreNLPProtos.OpenIETriple
optional string subject = 1;
getSubjectBytes() CoreNLPProtos.OpenIETripleOrBuilder
optional string subject = 1;
getSubjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 subjectSpanBegin = 4;
getSubjectSpanBegin() CoreNLPProtos.Operator
required int32 subjectSpanBegin = 4;
getSubjectSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 subjectSpanBegin = 4;
getSubjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 subjectSpanEnd = 5;
getSubjectSpanEnd() CoreNLPProtos.Operator
required int32 subjectSpanEnd = 5;
getSubjectSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 subjectSpanEnd = 5;
getSubjectTokens(int) CoreNLPProtos.OpenIETriple.Builder
repeated uint32 subjectTokens = 5;
getSubjectTokens(int) CoreNLPProtos.OpenIETriple
repeated uint32 subjectTokens = 5;
getSubjectTokens(int) CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 subjectTokens = 5;
getSubjectTokensCount() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 subjectTokens = 5;
getSubjectTokensCount() CoreNLPProtos.OpenIETriple
repeated uint32 subjectTokens = 5;
getSubjectTokensCount() CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 subjectTokens = 5;
getSubjectTokensList() CoreNLPProtos.OpenIETriple.Builder
repeated uint32 subjectTokens = 5;
getSubjectTokensList() CoreNLPProtos.OpenIETriple
repeated uint32 subjectTokens = 5;
getSubjectTokensList() CoreNLPProtos.OpenIETripleOrBuilder
repeated uint32 subjectTokens = 5;
getSubListIndex(String[], String[], String[], Set<String>, HashSet<String>, int, boolean, boolean) GetPatternsFromDataMultiClass
If l1 is a part of l2, it finds the starting index of l1 in l2 If l1 is not
a sub-array of l2, then it returns -1 note that l2 should have the exact
elements and order as in l1
getSubListIndex(Object[], Object[]) ArrayUtils
getSubListIndex(Object[], Object[], Function<Pair, Boolean>) ArrayUtils
If tofind is a part of tokens, it finds the ****starting index***** of tofind in tokens
If tofind is not a sub-array of tokens, then it returns null
note that tokens sublist should have the exact elements and order as in tofind
getSubTreeEdges(IndexedWord, SemanticGraph, SemanticGraphEdge) SemanticGraphUtils
Given a starting vertice, grabs the subtree encapsulated by portion of the semantic graph, excluding
a given edge.
getSubTreeEdgesHelper(IndexedWord, SemanticGraph, Set<SemanticGraphEdge>) SemanticGraphUtils
getSubtype() AceEntity
getSubtype() AceEvent
getSubtype() AceRelation
getSubType() ExtractionObject
getSubtype() CoreNLPProtos.Entity.Builder
optional string subtype = 5;
getSubtype() CoreNLPProtos.Entity
optional string subtype = 5;
getSubtype() CoreNLPProtos.EntityOrBuilder
optional string subtype = 5;
getSubtype() CoreNLPProtos.Relation.Builder
optional string subtype = 5;
getSubtype() CoreNLPProtos.Relation
optional string subtype = 5;
getSubtype() CoreNLPProtos.RelationOrBuilder
optional string subtype = 5;
getSubtypeBytes() CoreNLPProtos.Entity.Builder
optional string subtype = 5;
getSubtypeBytes() CoreNLPProtos.Entity
optional string subtype = 5;
getSubtypeBytes() CoreNLPProtos.EntityOrBuilder
optional string subtype = 5;
getSubtypeBytes() CoreNLPProtos.Relation.Builder
optional string subtype = 5;
getSubtypeBytes() CoreNLPProtos.Relation
optional string subtype = 5;
getSubtypeBytes() CoreNLPProtos.RelationOrBuilder
optional string subtype = 5;
getSuffixBe() CoreNLPProtos.OpenIETriple.Builder
optional bool suffixBe = 11;
getSuffixBe() CoreNLPProtos.OpenIETriple
optional bool suffixBe = 11;
getSuffixBe() CoreNLPProtos.OpenIETripleOrBuilder
optional bool suffixBe = 11;
getSuffixes() AceToken
getSuffixOf() CoreNLPProtos.OpenIETriple.Builder
optional bool suffixOf = 12;
getSuffixOf() CoreNLPProtos.OpenIETriple
optional bool suffixOf = 12;
getSuffixOf() CoreNLPProtos.OpenIETripleOrBuilder
optional bool suffixOf = 12;
getSupportedDurationFields(Partial) JodaTimeUtils
getSvmLightVerbosity() SVMLightClassifierFactory
getSymbol() SUTime.TimexMod
getSymbols() FastExactAutomatonMinimizer
getSyntacticHeadToken() EntityMention
getSyntacticHeadTokenPosition() EntityMention
getSyntacticHeadTree() EntityMention
getSystemFreeMemory(boolean) MemoryMonitor
getSystemSwapsPerSec() MemoryMonitor
getSystemUsedSwap() MemoryMonitor
getTable() CorpusDictionary
getTag(String) ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
getTag(String) MorphoFeatures
Build a POS tag consisting of a base category plus inflectional features.
getTag() PhraseTable.Phrase
getTag(String) Tags
getTag(String, String) ASBCunkDict
getTag(String, String) CTBunkDict
Returns "1" as true if the dictionary listed this word with this tag,
and "0" otherwise.
getTag(int) MaxentTagger
getTag(int) TTags
getTag(String, String) CorpusChar
getTagElementsFromFile(File, String) XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTagElementsFromFileSAXException(File, String) XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTaggerFeatures() TaggerExperiments
getTagIndex(String) MaxentTagger
Will return the index of a tag if known, -1 if not already known
getTagInside() TaggerConfig
Return a regex of XML elements to tag inside of.
getTagPre(String, String) CtbDict
getTags() CMMClassifier
Returns the Set of entities recognized by this Classifier.
getTags() Expression
Returns tags associated with this expression.
getTags() Expressions.TypedExpression
getTags() Expressions.WrappedExpression
getTags() Tags
getTags(String) Dictionary
getTagScore() EvaluateTreebank
getTagSeparator(Properties) TaggedFileRecord
getTagSeparator() TaggerConfig
getTagSuf(String, String) CtbDict
getTagType(String) LabeledChunkIdentifier
getTarget() DFSATransition
getTarget() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 target = 2;
getTarget() CoreNLPProtos.DependencyGraph.Edge
required uint32 target = 2;
getTarget() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
required uint32 target = 2;
getTarget() SemanticGraphEdge
getTarget() IntPair
Return the second element of the pair
getTarget() IntQuadruple
getTarget() IntTriple
getTarget2() IntQuadruple
getTargetCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 targetCopy = 6;
getTargetCopy() CoreNLPProtos.DependencyGraph.Edge
optional uint32 targetCopy = 6;
getTargetCopy() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional uint32 targetCopy = 6;
getTargetNode() TransducerGraph.Arc
getTargets() ComplexNodePattern.StringInSetAnnotationPattern
getTemperature(int) CoolingSchedule
getTemporal(String) SUTime.TimeIndex
getTemporal(int) SUTime.TimeIndex
getTemporal() TimeExpression
getTemporalExpr(String) SUTime.TimeIndex
getTemporalExpr(int) SUTime.TimeIndex
getTemporalFunc(int) SUTime.TimeIndex
getTense() AceEvent
getTensorForNode(Tree) SentimentModel
getTerminal(Tree, int) Trees
gets the nth terminal in tree.
getText() AceCharSeq
getText() MatchedExpression
getText() PhraseTable.Phrase
getText() CoreNLPProtos.Document.Builder
required string text = 1;
getText() CoreNLPProtos.Document
required string text = 1;
getText() CoreNLPProtos.DocumentOrBuilder
required string text = 1;
getText() CoreNLPProtos.Quote.Builder
optional string text = 1;
getText() CoreNLPProtos.Quote
optional string text = 1;
getText() CoreNLPProtos.QuoteOrBuilder
optional string text = 1;
getText() CoreNLPProtos.Sentence.Builder
optional string text = 12;
getText() CoreNLPProtos.Sentence
optional string text = 12;
getText() CoreNLPProtos.SentenceOrBuilder
optional string text = 12;
getText() CoreNLPProtos.Timex.Builder
optional string text = 3;
getText() CoreNLPProtos.Timex
optional string text = 3;
getText() CoreNLPProtos.TimexOrBuilder
optional string text = 3;
getText(Label) UnnamedDependency
getTextBytes() CoreNLPProtos.Document.Builder
required string text = 1;
getTextBytes() CoreNLPProtos.Document
required string text = 1;
getTextBytes() CoreNLPProtos.DocumentOrBuilder
required string text = 1;
getTextBytes() CoreNLPProtos.Quote.Builder
optional string text = 1;
getTextBytes() CoreNLPProtos.Quote
optional string text = 1;
getTextBytes() CoreNLPProtos.QuoteOrBuilder
optional string text = 1;
getTextBytes() CoreNLPProtos.Sentence.Builder
optional string text = 12;
getTextBytes() CoreNLPProtos.Sentence
optional string text = 12;
getTextBytes() CoreNLPProtos.SentenceOrBuilder
optional string text = 12;
getTextBytes() CoreNLPProtos.Timex.Builder
optional string text = 3;
getTextBytes() CoreNLPProtos.Timex
optional string text = 3;
getTextBytes() CoreNLPProtos.TimexOrBuilder
optional string text = 3;
getTextContent(CoreMap, Span) AnnotationUtils
Fetches the sentence text in a given token span
getTextContentFromTagsFromFile(File, String) XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTextContentFromTagsFromFileSAXException(File, String) XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTextPattern() TimeFormatter.CustomDateFormatExtractor
getTfid(SUTime.TimeIndex) SUTime.Temporal
getTfidString(SUTime.TimeIndex) SUTime.Temporal
getThreadBatches(List<E>, int) GetPatternsFromDataMultiClass
getThreadCounts(Properties) CorefProperties
getTid() CoreNLPProtos.Timex.Builder
optional string tid = 5;
getTid() CoreNLPProtos.Timex
optional string tid = 5;
getTid() CoreNLPProtos.TimexOrBuilder
optional string tid = 5;
getTid(SUTime.TimeIndex) SUTime.Temporal
getTidBytes() CoreNLPProtos.Timex.Builder
optional string tid = 5;
getTidBytes() CoreNLPProtos.Timex
optional string tid = 5;
getTidBytes() CoreNLPProtos.TimexOrBuilder
optional string tid = 5;
getTidString(SUTime.TimeIndex) SUTime.Temporal
getTime() JollyDayHolidays.JollyHoliday
getTime() SUTime.Duration
getTime() SUTime.ExplicitTemporalSet
getTime() SUTime.InexactTime
getTime() SUTime.PeriodicTemporalSet
getTime() SUTime.Range
getTime() SUTime.Temporal
getTime() SUTime.Time
getTimeLabel() SUTime.Temporal
getTimex() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimex() CoreNLPProtos.NERMention
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimex() CoreNLPProtos.NERMentionOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexAttributes(SUTime.TimeIndex) SUTime.PeriodicTemporalSet
getTimexAttributes(SUTime.TimeIndex) SUTime.Range
getTimexAttributes(SUTime.TimeIndex) SUTime.RelativeTime
getTimexAttributes(SUTime.TimeIndex) SUTime.Temporal
getTimexBuilder() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexOrBuilder() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexOrBuilder() CoreNLPProtos.NERMention
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexOrBuilder() CoreNLPProtos.NERMentionOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexType() SUTime.CompositePartialTime
getTimexType() SUTime.Duration
getTimexType() SUTime.PartialTime
getTimexType() SUTime.Range
getTimexType() SUTime.StandardTemporalType
getTimexType() SUTime.Temporal
getTimexType() SUTime.TemporalSet
getTimexType() SUTime.Time
getTimexValue() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTimexValue() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTimexValue() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTimexValue() SUTime.Temporal
getTimexValueBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTimexValueOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTimexValueOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTimexValueOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timexValue = 19;
getTLPParams() ParserGrammar
getTLPParams() LexicalizedParser
getTLPParams() ShiftReduceParser
getToken(int) AceDocument
getToken(int) TokenSequenceParser
Get the specific Token.
getToken() SurfacePattern
getToken(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getToken(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getToken(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenBegin() PhraseTable.PhraseMatch
getTokenBegin() CoreNLPProtos.Quote.Builder
optional uint32 tokenBegin = 7;
getTokenBegin() CoreNLPProtos.Quote
optional uint32 tokenBegin = 7;
getTokenBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 tokenBegin = 7;
getTokenBeginIndex() CoreNLPProtos.Token.Builder
optional uint32 tokenBeginIndex = 17;
getTokenBeginIndex() CoreNLPProtos.Token
optional uint32 tokenBeginIndex = 17;
getTokenBeginIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 tokenBeginIndex = 17;
getTokenBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenCount() AceDocument
getTokenCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenEnd() AceCharSeq
getTokenEnd() PhraseTable.PhraseMatch
getTokenEnd() CoreNLPProtos.Quote.Builder
optional uint32 tokenEnd = 8;
getTokenEnd() CoreNLPProtos.Quote
optional uint32 tokenEnd = 8;
getTokenEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 tokenEnd = 8;
getTokenEndIndex() CoreNLPProtos.Token.Builder
optional uint32 tokenEndIndex = 18;
getTokenEndIndex() CoreNLPProtos.Token
optional uint32 tokenEndIndex = 18;
getTokenEndIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 tokenEndIndex = 18;
getTokenEndInSentenceExclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenEndInSentenceExclusive = 3;
getTokenEndInSentenceExclusive() CoreNLPProtos.NERMention
required uint32 tokenEndInSentenceExclusive = 3;
getTokenEndInSentenceExclusive() CoreNLPProtos.NERMentionOrBuilder
required uint32 tokenEndInSentenceExclusive = 3;
getTokenIndex() CoreNLPProtos.IndexedWord.Builder
optional uint32 tokenIndex = 2;
getTokenIndex() CoreNLPProtos.IndexedWord
optional uint32 tokenIndex = 2;
getTokenIndex() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 tokenIndex = 2;
getTokenIndex(int) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
getTokenIndex(int) CoreNLPProtos.SentenceFragment
repeated uint32 tokenIndex = 1;
getTokenIndex(int) CoreNLPProtos.SentenceFragmentOrBuilder
repeated uint32 tokenIndex = 1;
getTokenIndexCount() CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
getTokenIndexCount() CoreNLPProtos.SentenceFragment
repeated uint32 tokenIndex = 1;
getTokenIndexCount() CoreNLPProtos.SentenceFragmentOrBuilder
repeated uint32 tokenIndex = 1;
getTokenIndexList() CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
getTokenIndexList() CoreNLPProtos.SentenceFragment
repeated uint32 tokenIndex = 1;
getTokenIndexList() CoreNLPProtos.SentenceFragmentOrBuilder
repeated uint32 tokenIndex = 1;
getTokenize() TaggerConfig
getTokenizedText(String) LexicalizedParserClient
Tokenize the text according to the parser's tokenizer,
return it as whitespace tokenized text.
getTokenizer(Reader) ArabicTokenizer.ArabicTokenizerFactory
getTokenizer(Reader, String) ArabicTokenizer.ArabicTokenizerFactory
getTokenizer(Reader) FrenchTokenizer.FrenchTokenizerFactory
getTokenizer(Reader, String) FrenchTokenizer.FrenchTokenizerFactory
getTokenizer(Reader) SpanishTokenizer.SpanishTokenizerFactory
getTokenizer(Reader, String) SpanishTokenizer.SpanishTokenizerFactory
getTokenizer(Reader) TokenizerAnnotator
Returns a thread-safe tokenizer
getTokenizer(Reader) PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getTokenizer(Reader, String) PTBTokenizer.PTBTokenizerFactory
getTokenizer(Reader) TokenizerFactory
getTokenizer(Reader, String) TokenizerFactory
getTokenizer(Reader) WhitespaceTokenizer.WhitespaceTokenizerFactory
getTokenizer(Reader, String) WhitespaceTokenizer.WhitespaceTokenizerFactory
getTokenizer(Reader) TreeTokenizerFactory
Gets a tokenizer from a reader.
getTokenizer(Reader, String) TreeTokenizerFactory
getTokenizerFactory() DocumentReader
Returns the tokenizer used to chop up text into words for the documents.
getTokenizerFactory() TaggerConfig
getTokenizerFactory() AbstractTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that
will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() ArabicTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text
that will be used with this Treebank/Language pair.
getTokenizerFactory() FrenchTreebankLanguagePack
getTokenizerFactory() NegraPennLanguagePack
Return a tokenizer which might be suitable for tokenizing text that
will be used with this Treebank/Language pair, without tokenizing carriage
returns (i.e., treating them as white space).
getTokenizerFactory() ChineseTreebankLanguagePack
getTokenizerFactory() SpanishTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this
Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white
space).
getTokenizerFactory() PennTreebankLanguagePack
getTokenizerFactory() TreebankLanguagePack
Return a tokenizer factory which might be suitable for tokenizing text
that will be used with this Treebank/Language pair.
getTokenizerInvertible() TaggerConfig
getTokenizerOptions() TaggerConfig
getTokenizerType(Properties) TokenizerAnnotator.TokenizerType
Get TokenizerType based on what's in the properties.
getTokenList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOffset() AceCharSeq
getTokenOffsetBegin() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetBegin = 2;
getTokenOffsetBegin() CoreNLPProtos.Sentence
required uint32 tokenOffsetBegin = 2;
getTokenOffsetBegin() CoreNLPProtos.SentenceOrBuilder
required uint32 tokenOffsetBegin = 2;
getTokenOffsetEnd() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetEnd = 3;
getTokenOffsetEnd() CoreNLPProtos.Sentence
required uint32 tokenOffsetEnd = 3;
getTokenOffsetEnd() CoreNLPProtos.SentenceOrBuilder
required uint32 tokenOffsetEnd = 3;
getTokenOffsets() MatchedExpression
getTokenOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokens() DataInstance
getTokens() DataInstanceDep
getTokens() DataInstanceSurface
getTokenStart() AceCharSeq
getTokenStartInSentenceInclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenStartInSentenceInclusive = 2;
getTokenStartInSentenceInclusive() CoreNLPProtos.NERMention
required uint32 tokenStartInSentenceInclusive = 2;
getTokenStartInSentenceInclusive() CoreNLPProtos.NERMentionOrBuilder
required uint32 tokenStartInSentenceInclusive = 2;
getTokenText(List<? extends CoreMap>, Class) ChunkAnnotationUtils
getTokenText(List<? extends CoreMap>, Class, String) ChunkAnnotationUtils
getToolTipText(MouseEvent) TooltipJList
getTopCategoryOfSyntheticState(String) GrammarCompactor
getTopFeatures(double, boolean, int) LinearClassifier
Returns list of top features with weight above a certain threshold
(list is descending and across all labels).
getTopFeatures(Set<L>, double, boolean, int, boolean) LinearClassifier
Returns list of top features with weight above a certain threshold
getTopFeatures(Iterator<Pair<Map<String, DataInstance>, File>>, double, double, String) LearnImportantFeatures
getTopFeaturesLabelIndices(Set<Integer>, double, boolean, int, boolean) LinearClassifier
Returns list of top features with weight above a certain threshold
getTopParsesForOneTree(LexicalizedParser, int, Tree, TreeTransformer) DVParser
getTotalCount(int) GoogleNGramsSQLBacked
Note that this is really really slow for ngram > 1
TODO: make this fast (if we had been using mysql we could have)
getTotalGroups() SequencePattern
getTotalTime() AnnotationPipeline
Return the total pipeline annotation time in milliseconds.
getTP() PrecisionRecallStats
Returns the current count of true positives.
getTransitionID(String) ParsingSystem
getTree(String) LexicalizedParserClient
Returs a Tree from the server connected to at host:port.
getTree() TreeJPanel
getTree() CoreNLPProtos.OpenIETriple.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTree() CoreNLPProtos.OpenIETriple
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTree() CoreNLPProtos.OpenIETripleOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTree() DeepTree
getTree() TreeFromFile
getTreebank() FileTreeNode
getTreebankDescription(String[], int, String) ArgUtils
getTreeBuilder() CoreNLPProtos.OpenIETriple.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTreeColor() Preferences
getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) GrammaticalStructure
Look through the tree t and adds to the List basicDep
additional dependencies which aren't
in the List but which satisfy the filter puncTypedDepFilter.
getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) UniversalEnglishGrammaticalStructure
getTreeDepth(Properties, String) CorefProperties
getTreeDimension(Tree, Font) TreeJPanel
getTreeOrBuilder() CoreNLPProtos.OpenIETriple.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTreeOrBuilder() CoreNLPProtos.OpenIETriple
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTreeOrBuilder() CoreNLPProtos.OpenIETripleOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph tree = 8;
getTreePrint() LexicalizedParser
Return a TreePrint for formatting parsed output trees.
getTreePrint() LexicalizedParserQuery
Return a TreePrint for formatting parsed output trees.
getTreeReaderFactory() Preferences
getTrees(String, int, int, int, int) TreebankAnnotator
getTregexPatternFromReader(BufferedReader) Tsurgeon
Assumes that we are at the beginning of a tsurgeon script file and gets the string for the
tregex pattern leading the file.
getTRF() FileTreeModel
getTriggeredPatterns(List<? extends T>) MultiPatternMatcher
Given a sequence, return the collection of patterns that are triggered by the sequence
(these patterns are the ones that may potentially match a subsequence in the sequence)
getTrimmedText(CoreMap) ChunkAnnotationUtils
getTrueCase() CoreNLPProtos.Token.Builder
optional string trueCase = 52;
getTrueCase() CoreNLPProtos.Token
optional string trueCase = 52;
getTrueCase() CoreNLPProtos.TokenOrBuilder
optional string trueCase = 52;
getTrueCaseBytes() CoreNLPProtos.Token.Builder
optional string trueCase = 52;
getTrueCaseBytes() CoreNLPProtos.Token
optional string trueCase = 52;
getTrueCaseBytes() CoreNLPProtos.TokenOrBuilder
optional string trueCase = 52;
getTrueCaseText() CoreNLPProtos.Token.Builder
optional string trueCaseText = 53;
getTrueCaseText() CoreNLPProtos.Token
optional string trueCaseText = 53;
getTrueCaseText() CoreNLPProtos.TokenOrBuilder
optional string trueCaseText = 53;
getTrueCaseTextBytes() CoreNLPProtos.Token.Builder
optional string trueCaseText = 53;
getTrueCaseTextBytes() CoreNLPProtos.Token
optional string trueCaseText = 53;
getTrueCaseTextBytes() CoreNLPProtos.TokenOrBuilder
optional string trueCaseText = 53;
getTsurgeonOperationsFromReader(BufferedReader) Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses
these out, collecting them into one operation.
getTsurgeonTextFromReader(BufferedReader) Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns
them as a String, mirroring the way the strings appear in the file.
getTuneCV() SVMLightClassifierFactory
getTuneHeldOut() SVMLightClassifierFactory
getTuneMinimizer() SVMLightClassifierFactory
getTwoDimensionalMap(K1) ThreeDimensionalMap
getType(String) LogPrior
getType() LogPrior
getType() CoNLL2011DocumentReader.CorefMentionAnnotation
getType() CoNLL2011DocumentReader.NamedEntityAnnotation
getType() CorefCoreAnnotations.CorefAnnotation
getType() CorefCoreAnnotations.CorefChainAnnotation
getType() CorefCoreAnnotations.CorefClusterAnnotation
Deprecated.
getType() CorefCoreAnnotations.CorefClusterIdAnnotation
getType() CorefCoreAnnotations.CorefDestAnnotation
getType() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
getType() Mention
getType() CorefCoreAnnotations.CorefAnnotation
getType() CorefCoreAnnotations.CorefChainAnnotation
getType() CorefCoreAnnotations.CorefClusterAnnotation
getType() CorefCoreAnnotations.CorefClusterIdAnnotation
getType() CorefCoreAnnotations.CorefDestAnnotation
getType() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
getType() CorefCoreAnnotations.CorefMentionsAnnotation
getType() Mention
getType() CoNLLDocumentReader.CorefMentionAnnotation
getType() CoNLLDocumentReader.NamedEntityAnnotation
getType() AceEntity
getType() AceEntityMention
getType() AceEvent
getType() AceRelation
getType() ExtractionObject
getType() MachineReadingAnnotations.AllRelationMentionsAnnotation
getType() MachineReadingAnnotations.DependencyAnnotation
Deprecated.
getType() MachineReadingAnnotations.DocumentDirectoryAnnotation
getType() MachineReadingAnnotations.DocumentIdAnnotation
Deprecated.
getType() MachineReadingAnnotations.EntityMentionsAnnotation
getType() MachineReadingAnnotations.EventMentionsAnnotation
getType() MachineReadingAnnotations.GenderAnnotation
getType() MachineReadingAnnotations.RelationMentionsAnnotation
getType() MachineReadingAnnotations.TriggerAnnotation
getType() ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation
getType() ChineseCoreAnnotations.CharactersAnnotation
getType() CoreAnnotation
Returns the type associated with this annotation.
getType() CoreAnnotations.AbbrAnnotation
getType() CoreAnnotations.AbgeneAnnotation
getType() CoreAnnotations.AbstrAnnotation
getType() CoreAnnotations.AfterAnnotation
getType() CoreAnnotations.AnswerAnnotation
getType() CoreAnnotations.AnswerObjectAnnotation
getType() CoreAnnotations.AntecedentAnnotation
getType() CoreAnnotations.ArgDescendentAnnotation
getType() CoreAnnotations.ArgumentAnnotation
getType() CoreAnnotations.AuthorAnnotation
getType() CoreAnnotations.BagOfWordsAnnotation
getType() CoreAnnotations.BeAnnotation
getType() CoreAnnotations.BeforeAnnotation
getType() CoreAnnotations.BeginIndexAnnotation
getType() CoreAnnotations.BestCliquesAnnotation
getType() CoreAnnotations.BestFullAnnotation
getType() CoreAnnotations.CalendarAnnotation
getType() CoreAnnotations.CategoryAnnotation
getType() CoreAnnotations.CategoryFunctionalTagAnnotation
getType() CoreAnnotations.CharacterOffsetBeginAnnotation
getType() CoreAnnotations.CharacterOffsetEndAnnotation
getType() CoreAnnotations.CharAnnotation
getType() CoreAnnotations.ChineseCharAnnotation
getType() CoreAnnotations.ChineseIsSegmentedAnnotation
getType() CoreAnnotations.ChineseOrigSegAnnotation
getType() CoreAnnotations.ChineseSegAnnotation
getType() CoreAnnotations.ChunkAnnotation
getType() CoreAnnotations.CoarseTagAnnotation
getType() CoreAnnotations.ColumnDataClassifierAnnotation
getType() CoreAnnotations.CommonWordsAnnotation
getType() CoreAnnotations.CoNLLDepAnnotation
getType() CoreAnnotations.CoNLLDepParentIndexAnnotation
getType() CoreAnnotations.CoNLLDepTypeAnnotation
getType() CoreAnnotations.CoNLLPredicateAnnotation
getType() CoreAnnotations.CoNLLSRLAnnotation
getType() CoreAnnotations.CoNLLUFeats
getType() CoreAnnotations.CoNLLUMisc
getType() CoreAnnotations.CoNLLUSecondaryDepsAnnotation
getType() CoreAnnotations.CoNLLUTokenSpanAnnotation
getType() CoreAnnotations.ContextsAnnotation
getType() CoreAnnotations.CostMagnificationAnnotation
getType() CoreAnnotations.CovertIDAnnotation
getType() CoreAnnotations.D2_LBeginAnnotation
getType() CoreAnnotations.D2_LEndAnnotation
getType() CoreAnnotations.D2_LMiddleAnnotation
getType() CoreAnnotations.DayAnnotation
getType() CoreAnnotations.DependentsAnnotation
getType() CoreAnnotations.DictAnnotation
getType() CoreAnnotations.DistSimAnnotation
getType() CoreAnnotations.DoAnnotation
getType() CoreAnnotations.DocDateAnnotation
getType() CoreAnnotations.DocIDAnnotation
getType() CoreAnnotations.DocSourceTypeAnnotation
getType() CoreAnnotations.DocTitleAnnotation
getType() CoreAnnotations.DocTypeAnnotation
getType() CoreAnnotations.DomainAnnotation
getType() CoreAnnotations.EndIndexAnnotation
getType() CoreAnnotations.EntityClassAnnotation
getType() CoreAnnotations.EntityRuleAnnotation
getType() CoreAnnotations.EntityTypeAnnotation
getType() CoreAnnotations.ExceptionAnnotation
getType() CoreAnnotations.FeaturesAnnotation
getType() CoreAnnotations.FemaleGazAnnotation
getType() CoreAnnotations.FirstChildAnnotation
getType() CoreAnnotations.ForcedSentenceEndAnnotation
getType() CoreAnnotations.ForcedSentenceUntilEndAnnotation
getType() CoreAnnotations.FreqAnnotation
getType() CoreAnnotations.GazAnnotation
getType() CoreAnnotations.GazetteerAnnotation
getType() CoreAnnotations.GenericTokensAnnotation
getType() CoreAnnotations.GeniaAnnotation
getType() CoreAnnotations.GoldAnswerAnnotation
getType() CoreAnnotations.GovernorAnnotation
getType() CoreAnnotations.GrandparentAnnotation
getType() CoreAnnotations.HaveAnnotation
getType() CoreAnnotations.HeadWordStringAnnotation
getType() CoreAnnotations.HeightAnnotation
getType() CoreAnnotations.IDAnnotation
getType() CoreAnnotations.IDFAnnotation
getType() CoreAnnotations.INAnnotation
getType() CoreAnnotations.IndexAnnotation
getType() CoreAnnotations.InterpretationAnnotation
getType() CoreAnnotations.IsDateRangeAnnotation
getType() CoreAnnotations.IsURLAnnotation
getType() CoreAnnotations.LabelAnnotation
getType() CoreAnnotations.LabelIDAnnotation
getType() CoreAnnotations.LabelWeightAnnotation
getType() CoreAnnotations.LastGazAnnotation
getType() CoreAnnotations.LastTaggedAnnotation
getType() CoreAnnotations.LBeginAnnotation
getType() CoreAnnotations.LeftChildrenNodeAnnotation
getType() CoreAnnotations.LeftTermAnnotation
getType() CoreAnnotations.LemmaAnnotation
getType() CoreAnnotations.LEndAnnotation
getType() CoreAnnotations.LengthAnnotation
getType() CoreAnnotations.LineNumberAnnotation
getType() CoreAnnotations.LinkAnnotation
getType() CoreAnnotations.LMiddleAnnotation
getType() CoreAnnotations.LocationAnnotation
getType() CoreAnnotations.MaleGazAnnotation
getType() CoreAnnotations.MarkingAnnotation
getType() CoreAnnotations.MentionsAnnotation
getType() CoreAnnotations.MentionTokenAnnotation
getType() CoreAnnotations.MonthAnnotation
getType() CoreAnnotations.MorphoCaseAnnotation
getType() CoreAnnotations.MorphoGenAnnotation
getType() CoreAnnotations.MorphoNumAnnotation
getType() CoreAnnotations.MorphoPersAnnotation
getType() CoreAnnotations.NamedEntityTagAnnotation
getType() CoreAnnotations.NeighborsAnnotation
getType() CoreAnnotations.NERIDAnnotation
getType() CoreAnnotations.NormalizedNamedEntityTagAnnotation
getType() CoreAnnotations.NotAnnotation
getType() CoreAnnotations.NumericCompositeObjectAnnotation
getType() CoreAnnotations.NumericCompositeTypeAnnotation
getType() CoreAnnotations.NumericCompositeValueAnnotation
getType() CoreAnnotations.NumericObjectAnnotation
getType() CoreAnnotations.NumericTypeAnnotation
getType() CoreAnnotations.NumericValueAnnotation
getType() CoreAnnotations.NumerizedTokensAnnotation
getType() CoreAnnotations.NumTxtSentencesAnnotation
getType() CoreAnnotations.OriginalCharAnnotation
getType() CoreAnnotations.OriginalTextAnnotation
getType() CoreAnnotations.ParagraphAnnotation
getType() CoreAnnotations.ParagraphsAnnotation
getType() CoreAnnotations.ParaPositionAnnotation
getType() CoreAnnotations.ParentAnnotation
getType() CoreAnnotations.PartOfSpeechAnnotation
getType() CoreAnnotations.PercentAnnotation
getType() CoreAnnotations.PhraseWordsAnnotation
getType() CoreAnnotations.PhraseWordsTagAnnotation
getType() CoreAnnotations.PolarityAnnotation
getType() CoreAnnotations.PositionAnnotation
getType() CoreAnnotations.PossibleAnswersAnnotation
getType() CoreAnnotations.PredictedAnswerAnnotation
getType() CoreAnnotations.PrevChildAnnotation
getType() CoreAnnotations.PriorAnnotation
getType() CoreAnnotations.ProtoAnnotation
getType() CoreAnnotations.QuotationIndexAnnotation
getType() CoreAnnotations.QuotationsAnnotation
getType() CoreAnnotations.RoleAnnotation
getType() CoreAnnotations.SectionAnnotation
getType() CoreAnnotations.SectionDateAnnotation
getType() CoreAnnotations.SectionEndAnnotation
getType() CoreAnnotations.SectionIDAnnotation
getType() CoreAnnotations.SectionStartAnnotation
getType() CoreAnnotations.SemanticHeadTagAnnotation
getType() CoreAnnotations.SemanticHeadWordAnnotation
getType() CoreAnnotations.SemanticTagAnnotation
getType() CoreAnnotations.SemanticWordAnnotation
getType() CoreAnnotations.SentenceBeginAnnotation
getType() CoreAnnotations.SentenceEndAnnotation
getType() CoreAnnotations.SentenceIDAnnotation
getType() CoreAnnotations.SentenceIndexAnnotation
getType() CoreAnnotations.SentencePositionAnnotation
getType() CoreAnnotations.SentencesAnnotation
getType() CoreAnnotations.ShapeAnnotation
getType() CoreAnnotations.SpaceBeforeAnnotation
getType() CoreAnnotations.SpanAnnotation
getType() CoreAnnotations.SpeakerAnnotation
getType() CoreAnnotations.SRLIDAnnotation
getType() CoreAnnotations.SRLInstancesAnnotation
getType() CoreAnnotations.StackedNamedEntityTagAnnotation
getType() CoreAnnotations.StateAnnotation
getType() CoreAnnotations.StemAnnotation
getType() CoreAnnotations.SubcategorizationAnnotation
getType() CoreAnnotations.TagLabelAnnotation
getType() CoreAnnotations.TextAnnotation
getType() CoreAnnotations.TokenBeginAnnotation
getType() CoreAnnotations.TokenEndAnnotation
getType() CoreAnnotations.TokensAnnotation
getType() CoreAnnotations.TopicAnnotation
getType() CoreAnnotations.TrueCaseAnnotation
getType() CoreAnnotations.TrueCaseTextAnnotation
getType() CoreAnnotations.TrueTagAnnotation
getType() CoreAnnotations.UBlockAnnotation
getType() CoreAnnotations.UnaryAnnotation
getType() CoreAnnotations.UnknownAnnotation
getType() CoreAnnotations.UseMarkedDiscourseAnnotation
getType() CoreAnnotations.UtteranceAnnotation
getType() CoreAnnotations.UTypeAnnotation
getType() CoreAnnotations.ValueAnnotation
getType() CoreAnnotations.VerbSenseAnnotation
getType() CoreAnnotations.WebAnnotation
getType() CoreAnnotations.WordFormAnnotation
getType() CoreAnnotations.WordnetSynAnnotation
getType() CoreAnnotations.WordPositionAnnotation
getType() CoreAnnotations.WordSenseAnnotation
getType() CoreAnnotations.XmlContextAnnotation
getType() CoreAnnotations.XmlElementAnnotation
getType() CoreAnnotations.YearAnnotation
getType() Expression
Returns a string indicating the type of this expression.
getType() Expressions.ConditionalExpression
getType() Expressions.TypedExpression
getType() Expressions.WrappedExpression
getType() Tags.TagsAnnotation
getType() NaturalLogicAnnotations.EntailedSentencesAnnotation
getType() NaturalLogicAnnotations.OperatorAnnotation
getType() NaturalLogicAnnotations.PolarityAnnotation
getType() NaturalLogicAnnotations.RelationTriplesAnnotation
getType() RNNCoreAnnotations.GoldClass
getType() RNNCoreAnnotations.NodeVector
getType() RNNCoreAnnotations.PredictedClass
getType() RNNCoreAnnotations.PredictionError
getType() RNNCoreAnnotations.Predictions
getType() ParserAnnotations.CandidatePartOfSpeechAnnotation
getType() ParserAnnotations.ConstraintAnnotation
getType() PatternsAnnotations.Features
getType() PatternsAnnotations.LongestMatchedPhraseForEachLabel
getType() PatternsAnnotations.MatchedPattern
getType() PatternsAnnotations.MatchedPatterns
getType() PatternsAnnotations.MatchedPhrases
getType() PatternsAnnotations.OtherSemanticLabel
getType() PatternsAnnotations.PatternHumanLabel1
getType() PatternsAnnotations.PatternHumanLabel10
getType() PatternsAnnotations.PatternHumanLabel2
getType() PatternsAnnotations.PatternHumanLabel3
getType() PatternsAnnotations.PatternHumanLabel4
getType() PatternsAnnotations.PatternHumanLabel5
getType() PatternsAnnotations.PatternHumanLabel6
getType() PatternsAnnotations.PatternHumanLabel7
getType() PatternsAnnotations.PatternHumanLabel8
getType() PatternsAnnotations.PatternHumanLabel9
getType() PatternsAnnotations.PatternLabel1
getType() PatternsAnnotations.PatternLabel10
getType() PatternsAnnotations.PatternLabel2
getType() PatternsAnnotations.PatternLabel3
getType() PatternsAnnotations.PatternLabel4
getType() PatternsAnnotations.PatternLabel5
getType() PatternsAnnotations.PatternLabel6
getType() PatternsAnnotations.PatternLabel7
getType() PatternsAnnotations.PatternLabel8
getType() PatternsAnnotations.PatternLabel9
getType() PatternsAnnotations.ProcessedTextAnnotation
getType() PatternsAnnotations.SeedLabeledOrNot
getType() CoreNLPProtos.Entity.Builder
optional string type = 4;
getType() CoreNLPProtos.Entity
optional string type = 4;
getType() CoreNLPProtos.EntityOrBuilder
optional string type = 4;
getType() CoreNLPProtos.Relation.Builder
optional string type = 4;
getType() CoreNLPProtos.Relation
optional string type = 4;
getType() CoreNLPProtos.RelationOrBuilder
optional string type = 4;
getType() CoreNLPProtos.Timex.Builder
optional string type = 4;
getType() CoreNLPProtos.Timex
optional string type = 4;
getType() CoreNLPProtos.TimexOrBuilder
optional string type = 4;
getType() SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
getType() SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
getType() SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
getType() SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
getType() SentimentCoreAnnotations.SentimentAnnotatedTree
getType() SentimentCoreAnnotations.SentimentClass
getType() TimeAnnotations.TimexAnnotation
getType() TimeAnnotations.TimexAnnotations
getType() TimeExpression.Annotation
getType() TimeExpression.ChildrenAnnotation
getType() TimeExpression.TimeIndexAnnotation
getType() TreeCoreAnnotations.BinarizedTreeAnnotation
getType() TreeCoreAnnotations.HeadTagLabelAnnotation
getType() TreeCoreAnnotations.HeadWordLabelAnnotation
getType() TreeCoreAnnotations.KBestTreesAnnotation
getType() TreeCoreAnnotations.TreeAnnotation
getTypeBytes() CoreNLPProtos.Entity.Builder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Entity
optional string type = 4;
getTypeBytes() CoreNLPProtos.EntityOrBuilder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Relation.Builder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Relation
optional string type = 4;
getTypeBytes() CoreNLPProtos.RelationOrBuilder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Timex.Builder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Timex
optional string type = 4;
getTypeBytes() CoreNLPProtos.TimexOrBuilder
optional string type = 4;
getTypedDependencyChains(List<TypedDependency>, int) Dependencies
getTypeName(Class) ValueFunctions.NamedValueFunction
getTypeProbabilities() ExtractionObject
getUAS(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) ParsingSystem
getUASnoPunc(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) ParsingSystem
getUnaryClassification(String) SentimentModel
getUncertaintyGranularity() SUTime.Temporal
getUniformDistribution(Collection<E>) Distribution
getUnknownFields() CoreNLPProtos.CorefChain.CorefMention
getUnknownFields() CoreNLPProtos.CorefChain
getUnknownFields() CoreNLPProtos.DependencyGraph.Edge
getUnknownFields() CoreNLPProtos.DependencyGraph
getUnknownFields() CoreNLPProtos.DependencyGraph.Node
getUnknownFields() CoreNLPProtos.Document
getUnknownFields() CoreNLPProtos.Entity
getUnknownFields() CoreNLPProtos.IndexedWord
getUnknownFields() CoreNLPProtos.MapIntString
getUnknownFields() CoreNLPProtos.MapStringString
getUnknownFields() CoreNLPProtos.Mention
getUnknownFields() CoreNLPProtos.NERMention
getUnknownFields() CoreNLPProtos.OpenIETriple
getUnknownFields() CoreNLPProtos.Operator
getUnknownFields() CoreNLPProtos.ParseTree
getUnknownFields() CoreNLPProtos.Polarity
getUnknownFields() CoreNLPProtos.Quote
getUnknownFields() CoreNLPProtos.Relation
getUnknownFields() CoreNLPProtos.Sentence
getUnknownFields() CoreNLPProtos.SentenceFragment
getUnknownFields() CoreNLPProtos.Span
getUnknownFields() CoreNLPProtos.SpeakerInfo
getUnknownFields() CoreNLPProtos.Timex
getUnknownFields() CoreNLPProtos.Token
getUnknownLevel() ArabicUnknownWordModel
getUnknownLevel() BaseUnknownWordModel
getUnknownLevel() UnknownWordModel
Get the level of equivalence classing for the model.
getUnknownWordModel() BaseLexicon
getUnknownWordModel() ChineseCharacterBasedLexicon
getUnknownWordModel() ChineseLexiconAndWordSegmenter
getUnknownWordModel() Lexicon
getUnknownWordVector() Embedding
getUnknownWordVector() DVModel
getUnlabeledMentionPairs(Document) StatisticalCorefUtils
getUnlabeledMentionPairs(Document, int) StatisticalCorefUtils
getUnminimizedFA() FastExactAutomatonMinimizer
getUnsupportedDurationPeriod(Partial, Period) JodaTimeUtils
getUrlEncoding(URLConnection) IOUtils
getUsedMemory() MemoryMonitor
getUsedMemory(boolean) MemoryMonitor
getUseSigma() SVMLightClassifierFactory
Get whether or not to train an overlying platt (sigmoid)
model for producing meaningful probabilities.
getUtter() CoreNLPProtos.Mention.Builder
optional uint32 utter = 18;
getUtter() CoreNLPProtos.Mention
optional uint32 utter = 18;
getUtter() CoreNLPProtos.MentionOrBuilder
optional uint32 utter = 18;
getUtterance() CoreNLPProtos.Token.Builder
optional uint32 utterance = 13;
getUtterance() CoreNLPProtos.Token
optional uint32 utterance = 13;
getUtterance() CoreNLPProtos.TokenOrBuilder
optional uint32 utterance = 13;
getval() DoubleAD
getVal(int) Feature
Get the value at the index-ed non zero value pair (x,y)
getVal(int, int) Feature
This is rarely used because it is slower and requires initHashVals() to be called beforehand
to initialize the hashValues.
getVal(int) TaggerFeature
getVal(int, int) TaggerFeature
getValidAdverbChunk(SemanticGraph, IndexedWord, Optional<String>) RelationTripleSegmenter
Get the yield of a given subtree, if it is a adverb chunk.
getValidatingXmlParser(File) XMLUtils
Returns a validating XML parser given an XSD (not DTD!).
getValidChunk(SemanticGraph, IndexedWord, Set<String>, Optional<String>, boolean) RelationTripleSegmenter
getValidChunk(SemanticGraph, IndexedWord, Set<String>, Optional<String>) RelationTripleSegmenter
getValidObjectChunk(SemanticGraph, IndexedWord, Optional<String>) RelationTripleSegmenter
Get the yield of a given subtree, if it is a valid object.
getValidSubjectChunk(SemanticGraph, IndexedWord, Optional<String>) RelationTripleSegmenter
Get the yield of a given subtree, if it is a valid subject.
getValue(int) FactorTable
getValue(int[]) FactorTable
getValue(int[]) FloatFactorTable
getValue() EntityMention
Get the text value of this entity.
getValue() ExtractionObject
Returns the text corresponding to the extent of this object
getValue(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatures
getValue() ComplexNodePattern.IntegerAnnotationPattern
getValue(String) CoreMapExpressionExtractor
getValue() MatchedExpression
getValue() Match
getValue() TrieMap
getValue(String) Expressions.CompositeValue
getValue() ExtractedPhrase
getValue(int) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValue(int) CoreNLPProtos.MapIntString
repeated string value = 2;
getValue(int) CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValue(int) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValue(int) CoreNLPProtos.MapStringString
repeated string value = 2;
getValue(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValue() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
getValue() CoreNLPProtos.ParseTree
optional string value = 2;
getValue() CoreNLPProtos.ParseTreeOrBuilder
optional string value = 2;
getValue() CoreNLPProtos.Timex.Builder
optional string value = 1;
getValue() CoreNLPProtos.Timex
optional string value = 1;
getValue() CoreNLPProtos.TimexOrBuilder
optional string value = 1;
getValue() CoreNLPProtos.Token.Builder
optional string value = 3;
getValue() CoreNLPProtos.Token
optional string value = 3;
getValue() CoreNLPProtos.TokenOrBuilder
optional string value = 3;
getValue() TwoDimensionalMap.Entry
getValue() ValuedInterval
getValueBytes(int) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapIntString
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapStringString
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValueBytes() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
getValueBytes() CoreNLPProtos.ParseTree
optional string value = 2;
getValueBytes() CoreNLPProtos.ParseTreeOrBuilder
optional string value = 2;
getValueBytes() CoreNLPProtos.Timex.Builder
optional string value = 1;
getValueBytes() CoreNLPProtos.Timex
optional string value = 1;
getValueBytes() CoreNLPProtos.TimexOrBuilder
optional string value = 1;
getValueBytes() CoreNLPProtos.Token.Builder
optional string value = 3;
getValueBytes() CoreNLPProtos.Token
optional string value = 3;
getValueBytes() CoreNLPProtos.TokenOrBuilder
optional string value = 3;
getValueCount() CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValueCount() CoreNLPProtos.MapIntString
repeated string value = 2;
getValueCount() CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValueCount() CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValueCount() CoreNLPProtos.MapStringString
repeated string value = 2;
getValueCount() CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValueDescriptor() CoreNLPProtos.Language
getValueDescriptor() CoreNLPProtos.NaturalLogicRelation
getValueDescriptor() CoreNLPProtos.Sentiment
getValueList() CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValueList() CoreNLPProtos.MapIntString
repeated string value = 2;
getValueList() CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValueList() CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValueList() CoreNLPProtos.MapStringString
repeated string value = 2;
getValueList() CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValues(MorphoFeatureSpecification.MorphoFeatureType) ArabicMorphoFeatureSpecification
getValues(MorphoFeatureSpecification.MorphoFeatureType) FrenchMorphoFeatureSpecification
getValues(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatureSpecification
getValuesArray() Dataset
getValuesArray() GeneralDataset
getValuesArray() RVFDataset
getValueType(Class<? extends CoreAnnotation>) AnnotationLookup
Returns the runtime value type associated with the given key.
getVariables() Env
getVariableString(String) TregexMatcher
If there is a current match, and that match involves setting this
particular variable string, this returns that string.
getVariance(double[]) StochasticDiffFunctionTester
getVariance(double[], int) StochasticDiffFunctionTester
getVectors() DeepTree
getVerbose() TaggerConfig
getVerboseResults() TaggerConfig
getVerticesFromEdgeSet(Iterable<SemanticGraphEdge>) SemanticGraphFactory
Given an iterable set of edges, returns the set of vertices covered by these edges.
getVeryCommonWordThresh() TaggerConfig
getVisibleClasses() Execution
getViterbiSearchGraph(List<IN>, Class<? extends CoreAnnotation<String>>) AbstractSequenceClassifier
getVocabWord(String) DVModel
getVocabWord(String) SentimentModel
Get the known vocabulary word associated with the given word.
getW(String) CorpusDictionary
getW1() Classifier
getW2() Classifier
getWeight() MatchedExpression
getWeight() SequencePattern
getWeight() SemanticGraphEdge
getWeightedTreebankDescription(String[], int, String) ArgUtils
getWeightIndices() CRFLogConditionalObjectiveFunction
getWeights() LogisticClassifier
getWeights() WeightedDataset
getWeights() WeightedRVFDataset
Get the weight array for this dataset.
getWeights(String) ScaledSGDMinimizer
getWeightVector() SimpleLinearClassifier
getWForNode(Tree) DVModel
getWForNode(Tree) SentimentModel
getWord() AceToken
getWord() RobustTokenizer.WordToken
getWord(int) PhraseTable.StringList
getWord(int) PhraseTable.TokenList
getWord(int) PhraseTable.WordList
getWord(int) Configuration
getWord() CoreNLPProtos.Token.Builder
required string word = 1;
getWord() CoreNLPProtos.Token
required string word = 1;
getWord() CoreNLPProtos.TokenOrBuilder
required string word = 1;
getWord(CoreLabel) FeatureFactory
Convenience methods for subclasses which use CoreLabel.
getWord() AmbiguityClass
getWord() CountWrapper
getWordBytes() CoreNLPProtos.Token.Builder
required string word = 1;
getWordBytes() CoreNLPProtos.Token
required string word = 1;
getWordBytes() CoreNLPProtos.TokenOrBuilder
required string word = 1;
getWordClassClusters() ConstantsAndVariables
getWordFunction() TaggerConfig
getWordID(String) DependencyParser
Get an integer ID for the given word.
getWordList() PhraseTable.Phrase
getWordShapeCache() ConstantsAndVariables
getWordShapeScore(String, String) PhraseScorer
getWordShapesForLabels() ConstantsAndVariables
getWordsOverSpan(int, int) HTKLatticeReader
getWordVector(String) DVModel
getWordVector(String) SentimentModel
Retrieve a learned word vector for the given word.
getWordVectors() Embedding
getWrappedList() PaddedList
Deprecated.
getX(int) Feature
getX() History
getX(int) TaggerFeature
getXmlContext(int) CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
getXmlContext(int) CoreNLPProtos.Token
repeated string xmlContext = 22;
getXmlContext(int) CoreNLPProtos.TokenOrBuilder
repeated string xmlContext = 22;
getXmlContextBytes(int) CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
getXmlContextBytes(int) CoreNLPProtos.Token
repeated string xmlContext = 22;
getXmlContextBytes(int) CoreNLPProtos.TokenOrBuilder
repeated string xmlContext = 22;
getXmlContextCount() CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
getXmlContextCount() CoreNLPProtos.Token
repeated string xmlContext = 22;
getXmlContextCount() CoreNLPProtos.TokenOrBuilder
repeated string xmlContext = 22;
getXmlContextList() CoreNLPProtos.Token.Builder
repeated string xmlContext = 22;
getXmlContextList() CoreNLPProtos.Token
repeated string xmlContext = 22;
getXmlContextList() CoreNLPProtos.TokenOrBuilder
repeated string xmlContext = 22;
getXMLInput() TaggerConfig
getXmlParser() XMLUtils
Returns a non-validating XML parser.
getXValues(Pair<Integer, String>) TemplateHash
getY() DataGeneric
getY(int) Feature
getY(int) QNMinimizer.QNInfo
getY() DataWordTag
getY(int) TaggerFeature
getYear() SUTime.IsoDate
getYieldBeginIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldBeginIndex = 3;
getYieldBeginIndex() CoreNLPProtos.ParseTree
optional uint32 yieldBeginIndex = 3;
getYieldBeginIndex() CoreNLPProtos.ParseTreeOrBuilder
optional uint32 yieldBeginIndex = 3;
getYieldEndIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldEndIndex = 4;
getYieldEndIndex() CoreNLPProtos.ParseTree
optional uint32 yieldEndIndex = 4;
getYieldEndIndex() CoreNLPProtos.ParseTreeOrBuilder
optional uint32 yieldEndIndex = 4;
getYInd() DataWordTag
getYTag() TaggerFeature
getYYEOF() Lexer
returns value for YYEOF
gfCharacter AbstractTreebankLanguagePack
Default character for indicating that something is a grammatical fn; probably should be overridden by
lang specific ones
globalEnv ConstantsAndVariables
globalIntern(T) SynchronizedInterner
Returns a unique object o' that .equals the argument o.
globalIntern(T) Interner
Returns a unique object o' that .equals the argument o.
globalMutex SynchronizedInterner
GLOSSES Operator
goal BiLexPCFGParser
goalStr ExhaustivePCFGParser
GOES_WITH EnglishGrammaticalRelations
The "goes with" grammatical relation.
GOES_WITH UniversalEnglishGrammaticalRelations
The "goes with" grammatical relation.
GoldAnswerAnnotation() CoreAnnotations.GoldAnswerAnnotation
GoldClass() RNNCoreAnnotations.GoldClass
goldClusters ClustererDataLoader.ClustererDoc
goldClustersFile StatisticalCorefTrainer
goldCorefClusterID Mention
goldCorefClusterID Mention
GOLDCOREFCLUSTERID_FIELD_NUMBER CoreNLPProtos.Mention
goldCorefClusters Document
Gold Clusters for coreferent mentions
goldCorefClusters Document
Gold Clusters for coreferent mentions
GoldenSectionLineSearch edu.stanford.nlp.optimization
A class to do golden section line search.
GoldenSectionLineSearch(double, double, double) GoldenSectionLineSearch
GoldenSectionLineSearch(double, double, double, boolean) GoldenSectionLineSearch
GoldenSectionLineSearch(boolean) GoldenSectionLineSearch
GoldenSectionLineSearch(boolean, double, double, double) GoldenSectionLineSearch
GoldenSectionLineSearch(boolean, double, double, double, boolean) GoldenSectionLineSearch
goldEntitiesEvalFiles ConstantsAndVariables
goldMentions Document
The list of gold mentions
goldMentions InputDoc
Gold mentions with coreference information for evaluation.
goldMentionsByID Document
goldOrderedMentionsBySentence Document
The list of gold mentions
goodTuringSmoothedCounter(Counter<E>, int) Distribution
Creates a Good-Turing smoothed Distribution from the given counter.
goodTuringWithExplicitUnknown(Counter<E>, E) Distribution
Creates a Good-Turing smoothed Distribution from the given counter without
creating any reserved mass-- instead, the special object UNK in the counter
is assumed to be the count of "UNSEEN" items.
GoogleNGramsSQLBacked edu.stanford.nlp.util
To query Google Ngrams counts from SQL in a memory efficient manner.
GoogleNGramsSQLBacked() GoogleNGramsSQLBacked
gov() TypedDependency
governor(Properties, int, SemanticGraphFactory.Mode) Sentence
Returns the governor of the given index, according to the passed dependency type.
governor(Properties, int) Sentence
governor(int, SemanticGraphFactory.Mode) Sentence
governor(int) Sentence
governor() Dependency
Describes the governor (regent/head) of the dependency relation.
GOVERNOR GrammaticalRelation
The "governor" grammatical relation, which is the inverse of "dependent".
governor() UnnamedDependency
GovernorAnnotation() CoreAnnotations.GovernorAnnotation
governors(Properties, SemanticGraphFactory.Mode) Sentence
Returns the governors of a sentence, according to the passed dependency type.
governors(Properties) Sentence
governors(SemanticGraphFactory.Mode) Sentence
governors() Sentence
govToDepMap(List<TypedDependency>) Dependencies
gPA TrainOptions
This variable controls doing 2 levels of parent annotation.
gpaAD ChineseTreebankParserParams
Grandparent annotate all AD.
gpaRootVP EnglishTreebankParserParams.EnglishTrain
Grand-parent annotate (root mark) VP below ROOT.
GPEPronouns Dictionaries
GPEPronouns Dictionaries
GPEPronounsEn WordLists
GPEPronounsZh WordLists
grad StochasticMinimizer
gradientCheck() AbstractCachingDiffFunction
gradientCheck(int, int, double[]) AbstractCachingDiffFunction
gradientDebug SeqClassifierFlags
gradientsOnly CRFNonLinearLogConditionalObjectiveFunction
gradList StochasticMinimizer
gradPerturbed AbstractStochasticCachingDiffFunction
GrammarCompactor edu.stanford.nlp.parser.lexparser
GrammarCompactor(Options) GrammarCompactor
GrammarProjection edu.stanford.nlp.parser.lexparser
Maps between the states of a more split and less split grammar.
GrammaticalFunctionTreeNormalizer edu.stanford.nlp.trees
Tree normalizer for cleaning up labels and preserving the whole node label,
the grammatical function and category information from the label, or only
the category information.
GrammaticalFunctionTreeNormalizer(TreebankLanguagePack, int) GrammaticalFunctionTreeNormalizer
GrammaticalRelation edu.stanford.nlp.trees
GrammaticalRelation is used to define a
standardized, hierarchical set of grammatical relations,
together with patterns for identifying them in
parse trees.
GrammaticalRelation(Language, String, String, GrammaticalRelation, String, TregexPatternCompiler, String...) GrammaticalRelation
GrammaticalRelation(Language, String, String, GrammaticalRelation) GrammaticalRelation
GrammaticalRelation(Language, String, String, GrammaticalRelation, String) GrammaticalRelation
GrammaticalStructure edu.stanford.nlp.trees
A GrammaticalStructure stores dependency relations between
nodes in a tree.
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, TreeTransformer, HeadFinder, Predicate<String>, Predicate<String>) GrammaticalStructure
Create a new GrammaticalStructure, analyzing the parse tree and
populate the GrammaticalStructure with as many labeled
grammatical relation arcs as possible.
GrammaticalStructure(List<TypedDependency>, TreeGraphNode) GrammaticalStructure
GrammaticalStructure.Extras edu.stanford.nlp.trees
A specification for the types of extra edges to add to the dependency tree.
grammaticalStructureFactory() AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFactory edu.stanford.nlp.trees
grammaticalStructureFactory() ChineseTreebankLanguagePack
grammaticalStructureFactory(Predicate<String>) ChineseTreebankLanguagePack
grammaticalStructureFactory(Predicate<String>, HeadFinder) ChineseTreebankLanguagePack
grammaticalStructureFactory() PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) PennTreebankLanguagePack
grammaticalStructureFactory() TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFromDependenciesFactory edu.stanford.nlp.trees
An interface for a factory that builds a GrammaticalStructure from
a list of TypedDependencies and a TreeGraphNode.
GrandparentAnnotation() CoreAnnotations.GrandparentAnnotation
Graph V ,E > - Interface in edu.stanford.nlp.graph
GREATER RobustTokenizer
greekifyNGrams SeqClassifierFlags
GREEN Redwood.Util
GroundedTime(SUTime.Time, ReadableInstant) SUTime.GroundedTime
GroundedTime(ReadableInstant) SUTime.GroundedTime
group() BasicSequenceMatchResult
group(int) BasicSequenceMatchResult
group(String) BasicSequenceMatchResult
group(String) SequenceMatchResult
Returns the String representing the matched group.
group(Iterable<V>, Comparator<V>) Iterables
Groups consecutive elements from the given iterable based on the value
in the given comparator.
GROUP_AFTER_MATCH SequenceMatchResult
GROUP_BEFORE_MATCH SequenceMatchResult
GROUP_FIELD TokensRegexNERAnnotator
groupByFeatureTemplate SeqClassifierFlags
groupByHiddenUnit SeqClassifierFlags
groupByInput SeqClassifierFlags
groupByOutputClass SeqClassifierFlags
groupCount() BasicSequenceMatchResult
groupInfo() BasicSequenceMatchResult
groupInfo(int) BasicSequenceMatchResult
groupInfo(String) BasicSequenceMatchResult
groupInfo(int) SequenceMatcher
groupInfo() SequenceMatchResult
groupInfo(int) SequenceMatchResult
groupInfo(String) SequenceMatchResult
GroupMatchReplacement(int) SequenceMatcher.GroupMatchReplacement
groupMatchResult(int, int) BasicSequenceMatchResult
groupMatchResult(String, int) BasicSequenceMatchResult
groupMatchResult(int, int) SequenceMatcher
groupMatchResult(int, int) SequenceMatchResult
Returns an Object representing the result for the match for a particular node in a group.
groupMatchResult(String, int) SequenceMatchResult
Returns an Object representing the result for the match for a particular node in a group.
groupMatchResults() BasicSequenceMatchResult
groupMatchResults(int) BasicSequenceMatchResult
groupMatchResults(String) BasicSequenceMatchResult
groupMatchResults(int) SequenceMatcher
groupMatchResults() SequenceMatchResult
Returns a list of Objects representing the match results for the entire sequence.
groupMatchResults(int) SequenceMatchResult
Returns a list of Objects representing the match results for the nodes in the group.
groupMatchResults(String) SequenceMatchResult
Returns a list of Objects representing the match results for the nodes in the group.
groupNodes() BasicSequenceMatchResult
groupNodes(int) BasicSequenceMatchResult
groupNodes(String) BasicSequenceMatchResult
groupNodes(int) SequenceMatcher
groupNodes() SequenceMatchResult
Returns the entire matched subsequence as a list.
groupNodes(int) SequenceMatchResult
Returns the matched group as a list.
groupNodes(String) SequenceMatchResult
Returns the matched group as a list.
GroupPatternExpr(SequencePattern.PatternExpr) SequencePattern.GroupPatternExpr
GroupPatternExpr(SequencePattern.PatternExpr, boolean) SequencePattern.GroupPatternExpr
GroupPatternExpr(SequencePattern.PatternExpr, String) SequencePattern.GroupPatternExpr
GroupToIntervalFunc(int) SequenceMatchResult.GroupToIntervalFunc
groupValue() BasicSequenceMatchResult
groupValue(int) BasicSequenceMatchResult
groupValue(String) BasicSequenceMatchResult
groupValue(int) SequenceMatcher
groupValue() SequenceMatchResult
Returns the value (some Object) associated with the entire matched sequence.
groupValue(int) SequenceMatchResult
Returns the value (some Object) associated with the captured group.
groupValue(String) SequenceMatchResult
Returns the value (some Object) associated with the captured group.
guessNER(List<CoreLabel>, Span) Util
TODO(gabor) JavaDoc
guessNER(List<CoreLabel>) Util
TODO(gabor) JavaDoc
gui() ConfusionMatrix
Show the confusion matrix in a GUI.
GUTIME_OUTPUT_RESULTS GUTimeAnnotator
GUTIME_PATH_PROPERTY GUTimeAnnotator
GUTIME_REQUIREMENT Annotator
These are annotators which StanfordCoreNLP does not know how to
create by itself, meaning you would need to use the custom
annotator mechanism to create them.
GUTimeAnnotator edu.stanford.nlp.time
Annotates text using GUTime perl script.
GUTimeAnnotator() GUTimeAnnotator
GUTimeAnnotator(File) GUTimeAnnotator
GUTimeAnnotator(String, Properties) GUTimeAnnotator