Interface | Description |
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PriorModelFactory<IN extends CoreMap> |
Class | Description |
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AbstractSequenceClassifier<IN extends CoreMap> |
This class provides common functionality for (probabilistic) sequence models.
|
ClassifierCombiner<IN extends CoreMap & HasWord> |
Merges the outputs of two or more AbstractSequenceClassifiers according to
a simple precedence scheme: any given base classifier contributes only
classifications of labels that do not exist in the base classifiers specified
before, and that do not have any token overlap with labels assigned by
higher priority classifiers.
|
EmpiricalNERPriorBIO<IN extends CoreMap> | |
EntityCachingAbstractSequencePriorBIO<IN extends CoreMap> |
This class keeps track of all labeled entities and updates the
its list whenever the label at a point gets changed.
|
NERClassifierCombiner |
Subclass of ClassifierCombiner that behaves like a NER, by copying
the AnswerAnnotation labels to NERAnnotation.
|
NERFeatureFactory<IN extends CoreLabel> |
Features for Named Entity Recognition.
|
NumberNormalizer |
Provides functions for converting words to numbers
Unlike QuantifiableEntityNormalizer that normalizes various
types of quantifiable entities like money and dates,
NumberNormalizer only normalizes numeric expressions
(e.g.
|
QuantifiableEntityNormalizer |
Various methods for normalizing Money, Date, Percent, Time, and
Number, Ordinal amounts.
|