edu.stanford.nlp.tmt.data

TermDataset

trait TermDataset [Item] extends AnyRef

A TermDataset has a set of terms associated with each item, and, optionally an index of terms and a tokenizer describing how those terms were created.

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TermDataset[Item] with edu.stanford.nlp.tmt.data.Dataset[Item, _, _]
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Abstract Value Members

  1. def getTerms (item: Item): Iterable[String]

    The tokenizer used to tokenize this dataset.

    The tokenizer used to tokenize this dataset.

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Concrete Value Members

  1. def != (arg0: AnyRef): Boolean

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  2. def != (arg0: Any): Boolean

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  3. def ## (): Int

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  6. def asInstanceOf [T0] : T0

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  7. def asTerms (termIndex: Index[String] = this.termIndex.get): Iterable[Array[Int]]

    A view of this dataset as its underlying terms.

  8. def clone (): AnyRef

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  9. def eq (arg0: AnyRef): Boolean

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  11. def finalize (): Unit

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  12. def getClass (): java.lang.Class[_]

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  13. def hashCode (): Int

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  15. def ne (arg0: AnyRef): Boolean

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  16. def notify (): Unit

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  17. def notifyAll (): Unit

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

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  19. val termIndex : Option[Index[String]]

    The index of terms in this dataset.

  20. def toString (): String

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  21. val tokenizer : Option[Tokenizer]

    The base tokenizer used when generating this dataset.

  22. def wait (): Unit

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

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  24. def wait (arg0: Long): Unit

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