object
BasicOntonotesNERWSJ extends BasicOntonotesNER
Value Members
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final
def
!=(arg0: AnyRef): Boolean
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: AnyRef): Boolean
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final
def
==(arg0: Any): Boolean
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def
addFeatures(document: Document): Unit
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final
def
asInstanceOf[T0]: T0
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def
bpPredictDocument(document: Document): Unit
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def
clone(): AnyRef
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def
deserialize(stream: InputStream): Unit
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def
deserialize(file: File): Unit
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def
documentAnnotationString(document: Document): 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
finalize(): Unit
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def
forwardPredictDocument(document: Document): Unit
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def
forwardPredictToken(token: Token): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
indepedentPredictDocument(document: Document): Unit
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final
def
isInstanceOf[T0]: Boolean
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def
mentionAnnotationString(mention: Mention): 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
phraseAnnotationString(phrase: Phrase): String
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def
postAttrs: Iterable[Class[_]]
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def
prereqAttrs: Iterable[Class[_]]
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def
sampleOutputString(tokens: Iterable[Token]): String
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def
serialize(stream: OutputStream): Unit
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def
serialize(filename: String): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
tokenAnnotationString(token: Token): String
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def
tokenFeaturesString(tokens: Iterable[Token]): String
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def
train(trainFilename: String, testFilename: String)(implicit random: Random): Unit
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def
trainModel1(trainDocs: Iterable[Document], testDocs: Iterable[Document])(implicit random: Random): Unit
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def
trainModel2(trainDocs: Iterable[Document], testDocs: Iterable[Document])(implicit random: Random): Unit
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def
trainModel3(trainDocs: Iterable[Document], testDocs: Iterable[Document])(implicit random: Random): 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
The default NER1 with parameters loaded from resources in the classpath.