edu.arizona.sista.processors.bionlp

BioNLPProcessor

Related Docs: class BioNLPProcessor | package bionlp

object BioNLPProcessor

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  3. final def ==(arg0: Any): Boolean

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  4. val CRF_MODEL_PATH: String

  5. val NORMALIZED_LABELS: Map[String, String]

  6. val POTENTIAL_FIGURE_NUMBER: Pattern

  7. val POTENTIAL_FIGURE_TEXT: Pattern

  8. val RULE_NER_KBS: List[String]

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  20. def postprocessCoreLabelTags(tas: Array[CoreLabel]): Unit

    Fixes some common POS tagging mistakes (in place, using CoreLabel.setTag) Note: this function is used by the CRF-based BioNER to cleanup its training data (from BioCreative 2).

    Fixes some common POS tagging mistakes (in place, using CoreLabel.setTag) Note: this function is used by the CRF-based BioNER to cleanup its training data (from BioCreative 2). This means that everytime there are changes here, the CRF should be retrained. Tell Mihai.

    tas

    arrays of tokens stored as CoreNLP CoreLabel

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