Class

org.clulab.reach.coserver

ProcessorCoreClient

Related Doc: package coserver

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class ProcessorCoreClient extends LazyLogging

Reach client for the Processors Core Server. Written by: Tom Hicks. 6/9/2017. Last Modified: Update for removal of semantic roles.

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Instance Constructors

  1. new ProcessorCoreClient()

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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 annotate(doc: Document): Document

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  5. def annotate(text: String, keepText: Boolean = false): Document

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  6. def annotateFromSentences(sentences: Iterable[String], keepText: Boolean = false): Document

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  7. def annotateFromTokens(sentences: Iterable[Iterable[String]], keepText: Boolean = false): Document

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  8. final def asInstanceOf[T0]: T0

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  9. def chunking(doc: Document): Document

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    Shallow parsing.

    Shallow parsing. Modified document is returned.

  10. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  11. def discourse(doc: Document): Document

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    Discourse parsing.

    Discourse parsing. Modified document is returned.

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

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  13. def equals(arg0: Any): Boolean

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  14. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. def lemmatize(doc: Document): Document

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    Lematization.

    Lematization. Modified document is returned.

  19. lazy val logger: Logger

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    protected
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    LazyLogging
  20. def mkDocument(text: String, keepText: Boolean = false): Document

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    Constructs a document of tokens from free text; includes sentence splitting and tokenization

  21. def mkDocumentFromSentences(sentences: Iterable[String], keepText: Boolean = false, charactersBetweenSentences: Int = 1): Document

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    Constructs a document of tokens from an array of untokenized sentences

  22. def mkDocumentFromTokens(sentences: Iterable[Iterable[String]], keepText: Boolean = false, charactersBetweenSentences: Int = 1, charactersBetweenTokens: Int = 1): Document

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    Constructs a document of tokens from an array of tokenized sentences

  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 parse(doc: Document): Document

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    Syntactic parsing.

    Syntactic parsing. Modified document is returned.

  27. def preprocessSentences(origSentences: Iterable[String]): Iterable[String]

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    Runs preprocessText on each sentence

  28. def preprocessText(origText: String): String

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    Hook to allow the preprocessing of input text

    Hook to allow the preprocessing of input text

    origText

    The original input text

    returns

    The preprocessed text

  29. def preprocessTokens(origSentences: Iterable[Iterable[String]]): Iterable[Iterable[String]]

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    Runs preprocessText on each token

  30. def recognizeNamedEntities(doc: Document): Document

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    NER - Named Entity Recognition.

    NER - Named Entity Recognition. Modified document is returned.

  31. def resolveCoreference(doc: Document): Document

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    Coreference resolution.

    Coreference resolution. Modified document is returned.

  32. val router: ActorRef

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

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  34. def tagPartsOfSpeech(doc: Document): Document

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    Part of speech tagging.

    Part of speech tagging. Modified document is returned.

  35. implicit val timeout: Timeout

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  36. def toString(): String

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  37. final def wait(): Unit

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

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

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Inherited from LazyLogging

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