cc.factorie.tutorial

ForwardBackwardPOS

object ForwardBackwardPOS

A simple demonstration of part-of-speech tagging with a finite-state linear-chain CRF. The set of features is impoverished in this demonstration, so the accuracy is not high

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Type Members

  1. class PosFeatures extends BinaryFeatureVectorVariable[String]

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. object PosFeaturesDomain extends CategoricalVectorDomain[String]

  7. object PosModel extends ChainModel[LabeledPennPosTag, PosFeatures, Token]

  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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  10. lazy val defaultCategory: String

  11. final def eq(arg0: AnyRef): Boolean

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. def initPosFeatures(document: Document): Unit

  17. def initPosFeatures(documents: Seq[Document]): Unit

  18. final def isInstanceOf[T0]: Boolean

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  19. def labelMaker(t: Token, l: String = defaultCategory): LabeledPennPosTag

  20. def load(modelFile: String): Unit

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

  22. var modelLoaded: Boolean

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

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  24. final def notify(): Unit

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  25. final def notifyAll(): Unit

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  26. def percentageSetToTarget[L <: LabeledVar](ls: Seq[L]): Double

  27. def predictSentence(vs: Seq[LabeledPennPosTag], oldBp: Boolean = false): Unit

  28. def predictSentence(s: Sentence): Unit

  29. def process(document: Document): Unit

  30. def process(documents: Seq[Document]): Unit

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

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  32. def test(documents: Seq[Document], label: String = "test"): Unit

  33. def toString(): String

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  34. def train(documents: Seq[Document], devDocuments: Seq[Document], testDocuments: Seq[Document] = Seq.empty[Document], iterations: Int = 100, modelFile: String = "", extraId: String = "")(implicit random: Random): Unit

  35. final def wait(): Unit

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

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

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