class
ArgumentClassifier extends AnyRef
Instance Constructors
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new
ArgumentClassifier()
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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var
classifier: Option[Classifier[String, String]]
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def
classify(sent: Sentence, arg: Int, pred: Int, history: ArrayBuffer[(Int, String)]): Counter[String]
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def
clone(): AnyRef
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def
compatible(label: String, chosen: HashSet[(Int, String)]): Boolean
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def
computeArgStats(doc: Document): Counter[String]
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def
createDataset(doc: Document, labelStats: Counter[String]): Dataset[String, String]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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-
def
featuresPerNode(total: Int): Int
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def
finalize(): Unit
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def
findArgLabel(arg: Int, args: Array[(Int, String)]): Option[String]
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
isPred(position: Int, s: Sentence): Boolean
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var
lemmaCounts: Option[Counter[String]]
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def
mkDatum(sent: Sentence, arg: Int, pred: Int, history: ArrayBuffer[(Int, String)], label: String): RVFDatum[String, String]
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
pickWithDomainConstraints(argCands: ArrayBuffer[(Int, List[(String, Double)])]): Set[(Int, String)]
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def
printDoc(doc: Document): Unit
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def
printGraph(header: String, s: Sentence, graph: DirectedGraph[String]): Unit
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def
printSentence(sentence: Sentence): Unit
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def
saveTo(w: Writer): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
test(testPath: String): Unit
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def
testOld(testPath: String): Unit
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def
toString(): String
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def
train(trainPath: String): Unit
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
Identifies the arguments in SR frames User: mihais Date: 7/13/15