Instance Constructors
-
new
WSJProjectiveGraphBasedParser(url: URL)
Value Members
-
final
def
!=(arg0: AnyRef): Boolean
-
final
def
!=(arg0: Any): Boolean
-
final
def
##(): Int
-
final
def
==(arg0: AnyRef): Boolean
-
final
def
==(arg0: Any): Boolean
-
-
-
final
def
asInstanceOf[T0]: T0
-
def
clone(): AnyRef
-
def
deserialize(url: URL): Unit
-
def
deserialize(file: String): Unit
-
def
documentAnnotationString(document: Document): String
-
final
def
eq(arg0: AnyRef): Boolean
-
def
equals(arg0: Any): Boolean
-
def
finalize(): Unit
-
final
def
getClass(): Class[_]
-
def
getPairwiseFeatureVector(t: Token, p: Token): TensorVar
-
def
getParentFeatureVector(p: Token): TensorVar
-
def
getTokenFeatureVector(t: Token): TensorVar
-
-
def
hashCode(): Int
-
final
def
isInstanceOf[T0]: Boolean
-
def
mentionAnnotationString(mention: Mention): String
-
final
def
ne(arg0: AnyRef): Boolean
-
final
def
notify(): Unit
-
final
def
notifyAll(): Unit
-
def
parse(sent: Sentence): Unit
-
def
phraseAnnotationString(phrase: Phrase): String
-
def
postAttrs: Iterable[Class[_]]
-
def
prereqAttrs: Iterable[Class[_]]
-
-
-
-
def
serialize(filename: String): Unit
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
-
def
test(testSentences: Iterable[Sentence]): (Double, Double, Double, Double)
-
def
toString(): String
-
def
tokenAnnotationString(token: Token): String
-
def
train(trainSentences: Seq[Sentence], testSentences: Seq[Sentence], file: String, nThreads: Int, nIters: Int = 10): Unit
-
final
def
wait(): Unit
-
final
def
wait(arg0: Long, arg1: Int): Unit
-
final
def
wait(arg0: Long): Unit