org.allenai.nlpstack.parse.poly.fsm

Reranker

Related Doc: package fsm

class Reranker extends AnyRef

Chooses the lowest cost parse from an n-best list (according to the reranking function).

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Instance Constructors

  1. new Reranker(rerankingFunction: RerankingFunction)

    rerankingFunction

    the cost function that drives the reranker

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. def apply(nbestList: NbestList): Option[Sculpture]

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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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 rerankCorpus(nbestCorpus: NbestCorpus): Iterable[Option[Sculpture]]

    Applies the reranker to every nbest list in a corpus.

    Applies the reranker to every nbest list in a corpus.

    nbestCorpus

    corpus of nbest lists

    returns

    an iterator over the lowest cost candidate for every nbest list of the corpus

  17. def rerankWithScore(nbestList: NbestList): Option[(Sculpture, Double)]

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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