edu.arizona.sista.processors.bionlp.ner

SeqScorer

Related Doc: package ner

class SeqScorer extends AnyRef

Computes P, R, F1 scores for the complete mentions produced by a sequence tagger User: mihais Date: 2/27/15

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Instance Constructors

  1. new SeqScorer()

Type Members

  1. class Counts extends AnyRef

  2. case class Mention(start: Int, end: Int, label: String) extends Product with Serializable

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. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def getCounts(counts: Map[String, Counts], label: String): Counts

  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def mkMentions(sentence: Array[String]): Set[Mention]

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def score(outputs: List[List[(String, String)]]): Unit

  18. def scoreSentence(sentence: List[(String, String)], counts: Map[String, Counts]): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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