Class

org.clulab.processors.clu.syntax

EnsembleModel

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class EnsembleModel extends AnyRef

Implements the word-by-word voting scheme from Surdeanu et al. (2010) User: mihais Date: 8/9/17

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  1. new EnsembleModel(individualOutputs: Array[DirectedGraph[String]])

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  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. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. val individualOutputs: Array[DirectedGraph[String]]

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def parse(): DirectedGraph[String]

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  17. def parseVoting(): DirectedGraph[String]

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    Produces an ensemble parse using the word-by-word voting scheme from Surdeanu et al.

    Produces an ensemble parse using the word-by-word voting scheme from Surdeanu et al. (2010) Note: this works well and fast, but it does not guarantee that the output is a tree

    returns

    the DirectedGraph corresponding to the ensemble parse

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

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  19. def toDependencyList(individualOutputs: Array[DirectedGraph[String]]): List[Dependency]

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  20. def toDependencyMap(individualOutputs: Array[DirectedGraph[String]]): Map[(Int, Int, String), HashSet[Int]]

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  21. def toDirectedGraph(deps: List[Dependency]): DirectedGraph[String]

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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