Class/Object

org.clulab.processors.fastnlp

FastNLPProcessor

Related Docs: object FastNLPProcessor | package fastnlp

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class FastNLPProcessor extends ShallowNLPProcessor with OpenIEAnnotator

Fast NLP tools Extends ShallowNLP with a dependency parser based on the Stanford NN dependency parser This means that constituent trees and coreference (which depends on constituent syntax) are not available The default setting is to use the Stanford parser with "basic" dependencies User: mihais Date: 1/4/14 Last Modified: Update for Scala 2.12: java converters.

Linear Supertypes
OpenIEAnnotator, ShallowNLPProcessor, Processor, AnyRef, Any
Known Subclasses
Ordering
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Inherited
  1. FastNLPProcessor
  2. OpenIEAnnotator
  3. ShallowNLPProcessor
  4. Processor
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new FastNLPProcessor(internStrings: Boolean = true, withChunks: Boolean = true, withRelationExtraction: Boolean = false, withDiscourse: Int = ShallowNLPProcessor.NO_DISCOURSE)

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  2. new FastNLPProcessor(tokenizerPostProcessor: Option[TokenizerStep], internStrings: Boolean, withChunks: Boolean, withRelationExtraction: Boolean, withDiscourse: Int)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. val LEFT_PARENS: Regex

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    Definition Classes
    ShallowNLPProcessor
  5. val RIGHT_PARENS: Regex

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    Definition Classes
    ShallowNLPProcessor
  6. def annotate(doc: Document): Document

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    Definition Classes
    Processor
  7. def annotate(text: String, keepText: Boolean): Document

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    Definition Classes
    Processor
  8. def annotateFromSentences(sentences: Iterable[String], keepText: Boolean): Document

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    Definition Classes
    Processor
  9. def annotateFromTokens(sentences: Iterable[Iterable[String]], keepText: Boolean): Document

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    Definition Classes
    Processor
  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  11. def basicSanityCheck(doc: Document, checkAnnotation: Boolean = true): Option[Annotation]

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    Definition Classes
    ShallowNLPProcessor
  12. lazy val chunker: CRFChunker

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    Definition Classes
    ShallowNLPProcessor
  13. def chunking(doc: Document): Unit

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    Definition Classes
    ShallowNLPProcessor → Processor
  14. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  15. def discourse(doc: Document): Unit

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    Definition Classes
    FastNLPProcessorShallowNLPProcessor → Processor
  16. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  17. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  18. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  20. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  21. def in(s: String): String

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    Definition Classes
    ShallowNLPProcessor
  22. val internStrings: Boolean

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    Definition Classes
    ShallowNLPProcessor
  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  24. def lemmatize(doc: Document): Unit

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    Definition Classes
    ShallowNLPProcessor → Processor
  25. lazy val lemmatizer: StanfordCoreNLP

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    Definition Classes
    ShallowNLPProcessor
  26. lazy val localTokenizer: Tokenizer

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    Attributes
    protected
    Definition Classes
    ShallowNLPProcessor
  27. def mkChunker: CRFChunker

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    Definition Classes
    ShallowNLPProcessor
  28. def mkDocument(text: String, keepText: Boolean): Document

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    Definition Classes
    ShallowNLPProcessor → Processor
  29. def mkDocumentFromSentences(sentences: Iterable[String], keepText: Boolean, charactersBetweenSentences: Int = 1): Document

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    Definition Classes
    ShallowNLPProcessor → Processor
  30. def mkDocumentFromTokens(sentences: Iterable[Iterable[String]], keepText: Boolean, charactersBetweenSentences: Int = 1, charactersBetweenTokens: Int = 1): Document

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    Definition Classes
    ShallowNLPProcessor → Processor
  31. def mkLemmatizer: StanfordCoreNLP

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    Definition Classes
    ShallowNLPProcessor
  32. def mkNer: StanfordCoreNLP

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    Definition Classes
    ShallowNLPProcessor
  33. def mkOpenIE: StanfordCoreNLP

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    Definition Classes
    OpenIEAnnotator
  34. def mkPosTagger: StanfordCoreNLP

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    Definition Classes
    ShallowNLPProcessor
  35. def namedEntitySanityCheck(doc: Document): Option[Annotation]

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    Definition Classes
    ShallowNLPProcessor
  36. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  37. lazy val ner: StanfordCoreNLP

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    Definition Classes
    ShallowNLPProcessor
  38. def newStanfordCoreNLP(props: Properties, enforceRequirements: Boolean = true): StanfordCoreNLP

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    Attributes
    protected
    Definition Classes
    ShallowNLPProcessor
  39. final def notify(): Unit

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    Definition Classes
    AnyRef
  40. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  41. lazy val openIE: StanfordCoreNLP

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    Definition Classes
    OpenIEAnnotator
  42. def parse(doc: Document): Unit

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    Definition Classes
    FastNLPProcessorShallowNLPProcessor → Processor
  43. lazy val posTagger: StanfordCoreNLP

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    Definition Classes
    ShallowNLPProcessor
  44. def postprocessTags(annotation: Annotation): Unit

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    Hook to allow postprocessing of CoreNLP POS tagging *in place*, overwriting original POS tags This is useful for domain-specific corrections

    Hook to allow postprocessing of CoreNLP POS tagging *in place*, overwriting original POS tags This is useful for domain-specific corrections

    annotation

    The CoreNLP annotation

    Definition Classes
    ShallowNLPProcessor
  45. def recognizeNamedEntities(doc: Document): Unit

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    Definition Classes
    ShallowNLPProcessor → Processor
  46. def relationExtraction(doc: Document): Unit

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    Definition Classes
    OpenIEAnnotator
  47. def relationExtractionSanityCheck(doc: Document): Option[Annotation]

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    Definition Classes
    OpenIEAnnotator
  48. def resolveCoreference(doc: Document): Unit

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    Definition Classes
    ShallowNLPProcessor → Processor
  49. lazy val rstDependencyParser: RSTParser

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    RST discourse parser using only dependency based syntax

  50. def srl(doc: Document): Unit

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    Semantic role labeling

    Semantic role labeling

    Definition Classes
    FastNLPProcessorShallowNLPProcessor → Processor
  51. lazy val stanfordDepParser: DependencyParser

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    Stanford's NN dependency parser

  52. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  53. def tagPartsOfSpeech(doc: Document): Unit

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    Definition Classes
    ShallowNLPProcessor → Processor
  54. def toString(): String

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    Definition Classes
    AnyRef → Any
  55. lazy val tokenizer: Tokenizer

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    Definition Classes
    ShallowNLPProcessor
  56. val tokenizerPostProcessor: Option[TokenizerStep]

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    Definition Classes
    ShallowNLPProcessor
  57. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  58. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  59. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  60. val withChunks: Boolean

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    Definition Classes
    ShallowNLPProcessor
  61. val withRelationExtraction: Boolean

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    Definition Classes
    ShallowNLPProcessor

Inherited from OpenIEAnnotator

Inherited from ShallowNLPProcessor

Inherited from Processor

Inherited from AnyRef

Inherited from Any

Ungrouped