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org.clulab.sequences

FeatureExtractor

Related Docs: object FeatureExtractor | package sequences

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class FeatureExtractor extends AnyRef

Implements common features used in sequence tagging Created by mihais on 6/8/17.

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Instance Constructors

  1. new FeatureExtractor(sentence: Sentence, position: Int, features: Counter[String])

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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 casing(offset: Int): Unit

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  6. def cheapLemma(offset: Int): Unit

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def features(offset: Int): Unit

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  11. val features: Counter[String]

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  12. def finalize(): Unit

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. def lemma(offset: Int): Unit

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. val position: Int

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  21. def prefixes(offset: Int, minLen: Int, maxLen: Int): Unit

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  22. val sentence: Sentence

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  23. def sentenceInfo(): Unit

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  24. def suffixes(offset: Int, minLen: Int, maxLen: Int): Unit

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

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  26. def tag(offset: Int): Unit

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  27. def toString(): String

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  28. final def wait(): Unit

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

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

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  31. def word(offset: Int): Unit

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  32. def wordBigrams(offset: Int, threshold: Int): Unit

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  33. def wordLen(offset: Int): Unit

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