Class/Object

org.clulab.discourse.rstparser

StructureClassifier

Related Docs: object StructureClassifier | package rstparser

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class StructureClassifier extends AnyRef

User: mihais Date: 5/21/14

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Instance Constructors

  1. new StructureClassifier()

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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. def addPositiveAndNegativeExamples1(structDataset: Dataset[String, String], tree: DiscourseTree, doc: Document, edus: Array[Array[(Int, Int)]]): Unit

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  5. def addPositiveAndNegativeExamples2(dataset: Dataset[String, String], tree: DiscourseTree, doc: Document, edus: Array[Array[(Int, Int)]]): Unit

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  6. final def asInstanceOf[T0]: T0

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  7. def baselineScore(left: DiscourseTree, right: DiscourseTree, doc: Document, edus: Array[Array[(Int, Int)]]): Double

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  8. var classifier: Classifier[String, String]

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  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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  10. var corpusStats: CorpusStats

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  11. def edusToTerminalTrees(doc: Document, edus: Array[Array[(Int, Int)]], startSen: Int, endSen: Int): Array[DiscourseTree]

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

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  13. def equals(arg0: Any): Boolean

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  14. def extractDiscourseDependencies(tree: DiscourseTree, deps: HashSet[(Int, Int, Int, Int)]): Unit

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  15. val featureExtractor: RelationFeatureExtractor

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  16. def finalize(): Unit

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

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  18. def hashCode(): Int

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  19. def isDep(trees: Array[DiscourseTree], pos: Int, discourseDeps: HashSet[(Int, Int, Int, Int)]): Boolean

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  20. final def isInstanceOf[T0]: Boolean

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  21. def mkDataset(trees: List[(DiscourseTree, Document)]): Dataset[String, String]

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  22. def mkDatum(left: DiscourseTree, right: DiscourseTree, doc: Document, edus: Array[Array[(Int, Int)]], label: String): Datum[String, String]

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  23. def mkTree(edus: Array[Array[(Int, Int)]], doc: Document, relationModel: RelationClassifier, startSentence: Int, endSentence: Int, verbose: Boolean): DiscourseTree

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  24. def mkTree(edus: Array[Array[(Int, Int)]], doc: Document, relationModel: RelationClassifier, verbose: Boolean = false): DiscourseTree

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  25. def mkTreeBaseline(edus: Array[Array[(Int, Int)]], doc: Document, verbose: Boolean = false): DiscourseTree

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  26. def mkTreeIntraFirst(edus: Array[Array[(Int, Int)]], doc: Document, relationModel: RelationClassifier, verbose: Boolean = false): DiscourseTree

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

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  28. final def notify(): Unit

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  29. final def notifyAll(): Unit

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  30. def parseTreeSeq(treeSeq: Array[DiscourseTree], edus: Array[Array[(Int, Int)]], doc: Document, relationModel: RelationClassifier, verbose: Boolean = false): DiscourseTree

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  31. def saveTo(w: Writer, saveCorpusStats: Boolean = false): Unit

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  32. var scaleRanges: ScaleRange[String]

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  33. def summarizeTrees(trees: Iterable[DiscourseTree], iteration: Int): Unit

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

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  35. def toString(): String

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  36. def train(trees: List[(DiscourseTree, Document)], cs: CorpusStats): Unit

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    Trains using all .dis in the given directory, assuming gold segmentation and gold labels

  37. final def wait(): Unit

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

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

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