cc.factorie.tutorial

ChainNERDemo

object ChainNERDemo

A demonstration of training a linear-chain CRF for named entity recognition. Prints various diagnostics suitable to a demo.

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Type Members

  1. class Label extends LabeledCategoricalVariable[String]

  2. class Sentence extends Chain[Sentence, Token]

  3. class Token extends BinaryFeatureVectorVariable[String] with ChainLink[Token, Sentence]

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. val Capitalized: Regex

  7. object LabelDomain extends CategoricalDomain[String]

  8. val Numeric: Regex

  9. val Punctuation: Regex

  10. object TokenDomain extends CategoricalVectorDomain[String]

  11. final def asInstanceOf[T0]: T0

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  12. def clone(): AnyRef

    Attributes
    protected[java.lang]
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  13. final def eq(arg0: AnyRef): Boolean

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  14. def equals(arg0: Any): Boolean

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  15. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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  19. def load(filename: String): Seq[Sentence]

  20. def main(args: Array[String]): Unit

  21. val model: model.TemplateModel with model.Parameters { ... /* 3 definitions in type refinement */ }

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

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. val objective: HammingTemplate[Label]

  26. def printDiagnostic(labels: Seq[Label]): Unit

  27. def printLabel(label: Label): Unit

  28. def printTokenMarginals(tokens: Seq[Token], summary: BPSummary): Unit

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

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  30. def toString(): String

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  31. final def wait(): Unit

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

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

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  34. def wordToFeatures(word: String, initialFeatures: String*): Seq[String]

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