CorefChains

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. val chains: Map[Int, Iterable[CorefMention]]

   

   Indexes all coreference chains in a document using a unique id per chain These do not include singleton clusters

6. def clone(): AnyRef

   

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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 getChain(mention: CorefMention): Option[Iterable[CorefMention]]

    

    Fetches the coreference chain for this mention; None for singletons

11. def getChain(sentenceIndex: Int, headIndex: Int): Option[Iterable[CorefMention]]

    

    Fetches the coreference chain for the mention with this sentence and head indices; None for singletons

12. def getChains: Iterable[Iterable[CorefMention]]

    

    All recognized chains, without singletons

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

    

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14. def getMention(sentenceIndex: Int, headIndex: Int): Option[CorefMention]

    

    Fetches the mention with this sentence and head indices

15. def getMentions: Iterable[CorefMention]

    

    All mentions in this document

16. def hashCode(): Int

    

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17. def isEmpty: Boolean

    

18. final def isInstanceOf[T0]: Boolean

    

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19. val mentions: Map[(Int, Int), CorefMention]

    

    Indexes all mentions in a document by sentence index (starting at 0) and head index (starting at 0) This means we store only one mention per head (unlike CoreNLP which may have multiple) In case a specific processor maintains multiple mentions with same head, we keep the longest

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

    

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21. final def notify(): Unit

    

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22. final def notifyAll(): Unit

    

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

    

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24. def toString(): String

    

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25. final def wait(): Unit

    

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

    

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

    

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