Class/Object

org.clulab.dynet

Eisner

Related Docs: object Eisner | package dynet

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class Eisner extends AnyRef

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Instance Constructors

  1. new Eisner()

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Value Members

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def ensembleParser(mtlHeads: Metal, mtlLabels: Option[Metal], sentence: AnnotatedSentence, constEmbeddings: ConstEmbeddingParameters, topK: Int, lambda: Float, generateRelativeHeads: Boolean): IndexedSeq[(Int, String)]

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    Eisner algorithm using as dependency score the head score + label score

  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. def generateOutput(top: Option[Span], scores: IndexedSeq[IndexedSeq[(String, Float)]], dependencies: Array[Array[Dependency]], generateRelativeHeads: Boolean): IndexedSeq[(Int, String)]

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  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def parse(startingDependencies: Array[Array[Dependency]]): Option[Span]

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  18. def printDependencyTable(deps: Array[Array[Dependency]]): Unit

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

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  20. def toDependencyTable(scores: IndexedSeq[IndexedSeq[(String, Float)]], topK: Int): Array[Array[Dependency]]

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    Converts the top K predictions from an unlabeled parserinto a matrix of Dependency (rows are mods; columns are heads)

  21. def toString(): String

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  22. final def wait(): Unit

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  23. final def wait(arg0: Long, arg1: Int): Unit

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  24. final def wait(arg0: Long): Unit

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