org.allenai.nlpstack.parse.poly.polyparser

NeighborhoodEventStatistic

Related Docs: object NeighborhoodEventStatistic | package polyparser

case class NeighborhoodEventStatistic(name: String, neighborhoodCounts: Seq[(Neighborhood, Int)], eventTransform: NeighborhoodTransform) extends Product with Serializable

Collects statistics over "neighborhood events."

An example might help. A neighborhood is a collection of tokens, e.g. a node and its children in a dependency parse. A neighborhood event is a mapping of these tokens to a sequence of strings, e.g. we might map each token to its part-of-speech tag.

Given a corpus of dependency parses, we might want to collect a histogram that tells us how many times each neighborhood event like (VERB, NOUN, NOUN) occurs in the corpus. This is what the NeighborhoodEventStatistic does.

name

a label for this object

neighborhoodCounts

a histogram over observed neighborhoods

eventTransform

a transformation from neighborhoods to events

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Instance Constructors

  1. new NeighborhoodEventStatistic(name: String, neighborhoodCounts: Seq[(Neighborhood, Int)], eventTransform: NeighborhoodTransform)

    name

    a label for this object

    neighborhoodCounts

    a histogram over observed neighborhoods

    eventTransform

    a transformation from neighborhoods to events

Value Members

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

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
    AnyRef → Any

  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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    protected[java.lang]
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    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  7. val eventTransform: NeighborhoodTransform

    a transformation from neighborhoods to events

  8. def finalize(): Unit

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

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

    Definition Classes
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  10. def getSmoothedEventProbability(neighborhood: Neighborhood): Double

    Computes a smoothed probability estimate of the given neighborhood's event.

  11. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  12. val name: String

    a label for this object

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

    Definition Classes
    AnyRef

  14. val neighborhoodCounts: Seq[(Neighborhood, Int)]

    a histogram over observed neighborhoods

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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

    Definition Classes
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  18. def toString(): String

    Definition Classes
    NeighborhoodEventStatistic → AnyRef → Any

  19. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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