Uses of Interface
opennlp.tools.ml.model.SequenceClassificationModel
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Packages that use SequenceClassificationModel Package Description opennlp.tools.chunker Package related to finding non-recursive syntactic annotation such as noun phrase chunks.opennlp.tools.lemmatizer Package related to the lemmatizer functionality.opennlp.tools.ml Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.opennlp.tools.namefind Package related to finding proper names and numeric amounts.opennlp.tools.postag Package related to part-of-speech tagging. -
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Uses of SequenceClassificationModel in opennlp.tools.chunker
Fields in opennlp.tools.chunker declared as SequenceClassificationModel Modifier and Type Field Description protected SequenceClassificationModel<TokenTag>
ChunkerME. model
The model used to assign chunk tags to a sequence of tokens.Methods in opennlp.tools.chunker that return SequenceClassificationModel Modifier and Type Method Description SequenceClassificationModel<TokenTag>
ChunkerModel. getChunkerSequenceModel()
Constructors in opennlp.tools.chunker with parameters of type SequenceClassificationModel Constructor Description ChunkerModel(String languageCode, SequenceClassificationModel<String> chunkerModel, Map<String,String> manifestInfoEntries, ChunkerFactory factory)
Initializes aChunkerModel
instance via given parameters. -
Uses of SequenceClassificationModel in opennlp.tools.lemmatizer
Methods in opennlp.tools.lemmatizer that return SequenceClassificationModel Modifier and Type Method Description SequenceClassificationModel<String>
LemmatizerModel. getLemmatizerSequenceModel()
Constructors in opennlp.tools.lemmatizer with parameters of type SequenceClassificationModel Constructor Description LemmatizerModel(String languageCode, SequenceClassificationModel<String> lemmatizerModel, Map<String,String> manifestInfoEntries, LemmatizerFactory factory)
Initializes aLemmatizerModel
instance via given parameters. -
Uses of SequenceClassificationModel in opennlp.tools.ml
Classes in opennlp.tools.ml that implement SequenceClassificationModel Modifier and Type Class Description class
BeamSearch<T>
Performs k-best search over a sequence.Methods in opennlp.tools.ml that return SequenceClassificationModel Modifier and Type Method Description <T> SequenceClassificationModel<String>
SequenceTrainer. train(SequenceStream<T> events)
Trains aSequenceClassificationModel
for givenevents
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Uses of SequenceClassificationModel in opennlp.tools.namefind
Fields in opennlp.tools.namefind declared as SequenceClassificationModel Modifier and Type Field Description protected SequenceClassificationModel<String>
NameFinderME. model
Methods in opennlp.tools.namefind that return SequenceClassificationModel Modifier and Type Method Description SequenceClassificationModel<String>
TokenNameFinderModel. getNameFinderSequenceModel()
Constructors in opennlp.tools.namefind with parameters of type SequenceClassificationModel Constructor Description TokenNameFinderModel(String languageCode, SequenceClassificationModel<String> nameFinderModel, byte[] generatorDescriptor, Map<String,Object> resources, Map<String,String> manifestInfoEntries, SequenceCodec<String> seqCodec, TokenNameFinderFactory factory)
Initializes aTokenNameFinderModel
instance via given parameters. -
Uses of SequenceClassificationModel in opennlp.tools.postag
Methods in opennlp.tools.postag that return SequenceClassificationModel Modifier and Type Method Description SequenceClassificationModel<String>
POSModel. getPosSequenceModel()
Constructors in opennlp.tools.postag with parameters of type SequenceClassificationModel Constructor Description POSModel(String languageCode, SequenceClassificationModel<String> posModel, Map<String,String> manifestInfoEntries, POSTaggerFactory posFactory)
Initializes aPOSModel
instance via given parameters.
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