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Packages that use TrainableFilter | |
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de.fu_berlin.ties.extract | This package handles information extraction and entity recognition. |
de.fu_berlin.ties.filter | This packages provides generic filtering and rewriting functionality. |
Uses of TrainableFilter in de.fu_berlin.ties.extract |
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Methods in de.fu_berlin.ties.extract that return TrainableFilter | |
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protected TrainableFilter |
ExtractorBase.getSentenceFilter()
Returns the filter used in the first step of a double classification approach ("sentence filtering"). |
Methods in de.fu_berlin.ties.extract with parameters of type TrainableFilter | |
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protected FilteringTokenWalker |
Extractor.createFilteringTokenWalker(TrainableFilter repFilter)
Creates a filtering token walker to be used for walking through a document and sentence classification if a double classification approach is used. |
protected FilteringTokenWalker |
Trainer.createFilteringTokenWalker(TrainableFilter repFilter)
Creates a filtering token walker to be used for walking through a document and sentence classification if a double classification approach is used. |
protected abstract FilteringTokenWalker |
ExtractorBase.createFilteringTokenWalker(TrainableFilter repFilter)
Creates a filtering token walker to be used for walking through a document and sentence classification if a double classification approach is used. |
Constructors in de.fu_berlin.ties.extract with parameters of type TrainableFilter | |
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Extractor(String outExt,
TargetStructure targetStruct,
Classifier[] theClassifiers,
Representation theRepresentation,
CombinationStrategy combiStrat,
FinalReextractor reextract,
TokenizerFactory tFactory,
Reestimator estimator,
DocumentRewriter[] docFilters,
TrainableFilter sentFilter,
Reranker rerank,
Set<String> relevantPunct,
TiesConfiguration config)
Creates a new instance. |
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ExtractorBase(String outExt,
TargetStructure targetStruct,
Classifier[] theClassifiers,
Representation theRepresentation,
CombinationStrategy combiStrat,
FinalReextractor reextract,
TokenizerFactory tFactory,
Reestimator estimator,
DocumentRewriter[] docFilters,
TrainableFilter sentFilter,
Set<String> relevantPunct,
TiesConfiguration config)
Creates a new instance. |
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Trainer(String outExt,
TargetStructure targetStruct,
TrainableClassifier[] theClassifiers,
Representation theRepresentation,
CombinationStrategy combiStrat,
FinalReextractor reextract,
TokenizerFactory tFactory,
Reestimator estimator,
DocumentRewriter[] docFilters,
TrainableFilter sentFilter,
Set<String> relevantPunct,
boolean trainOnlyErrors,
boolean testOnly,
TiesConfiguration config)
Creates a new instance. |
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Trainer(String outExt,
TargetStructure targetStruct,
TrainableClassifier[] theClassifiers,
Representation theRepresentation,
CombinationStrategy combiStrat,
FinalReextractor reextract,
TokenizerFactory tFactory,
Reestimator estimator,
TrainableFilter sentFilter)
Creates a new instance, using the standard configuration to configure the
remaining fields. |
Uses of TrainableFilter in de.fu_berlin.ties.filter |
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Subclasses of TrainableFilter in de.fu_berlin.ties.filter | |
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class |
RepresentationFilter
A trainable filter that uses a Representation to convert elements into
feature vectors. |
Constructors in de.fu_berlin.ties.filter with parameters of type TrainableFilter | |
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TrainableFilteringTokenWalker(TokenProcessor processor,
TokenizerFactory tFactory,
TrainableFilter elementFilter,
SkipHandler sHandler,
Oracle elementOracle)
Creates a new instance, enabling training the filter. |
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TrainableFilteringTokenWalker(TokenProcessor processor,
TokenizerFactory tFactory,
TrainableFilter elementFilter,
SkipHandler sHandler,
Oracle elementOracle,
boolean enableTraining)
Creates a new instance. |
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