Uses of Class
de.fu_berlin.ties.filter.TrainableFilter

Packages that use TrainableFilter
de.fu_berlin.ties.extract This package handles information extraction and entitiy recognition. 
de.fu_berlin.ties.filter This packages provides generic filtering functionality and an implementation for sentence filtering. 
 

Uses of TrainableFilter in de.fu_berlin.ties.extract
 

Methods in de.fu_berlin.ties.extract that return TrainableFilter
static TrainableFilter ExtractorBase.createSentenceFilter(TiesConfiguration conf, Representation representation)
          Helper methat that initializes the filter to be used for the first step of a double classification approach ("sentence filtering").
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
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 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.
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.
 

Constructors in de.fu_berlin.ties.extract with parameters of type TrainableFilter
Extractor(String outExt, TargetStructure targetStruct, Classifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Reranker rerank, Set<String> relevantPunct, TiesConfiguration config)
          Creates a new instance.
ExtractorBase(String outExt, TargetStructure targetStruct, Classifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Set<String> relevantPunct, TiesConfiguration config)
          Creates a new instance.
Trainer(String outExt, TargetStructure targetStruct, TrainableClassifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter)
          Creates a new instance, using the standard configuration to configure the training mode and the superclasses.
Trainer(String outExt, TargetStructure targetStruct, TrainableClassifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Set<String> relevantPunct, boolean trainOnlyErrors, boolean testOnly, TiesConfiguration config)
          Creates a new instance.
 

Uses of TrainableFilter in de.fu_berlin.ties.filter
 

Subclasses of TrainableFilter in de.fu_berlin.ties.filter
 class RepresentationFilter
          A trainable filter that uses a Representationto convert elements into feature vectors.
 

Constructors in de.fu_berlin.ties.filter with parameters of type TrainableFilter
TrainableFilteringTokenWalker(TokenProcessor processor, TokenizerFactory tFactory, TrainableFilter elementFilter, SkipHandler sHandler, Oracle elementOracle)
          Creates a new instance, enabling training the filter.
TrainableFilteringTokenWalker(TokenProcessor processor, TokenizerFactory tFactory, TrainableFilter elementFilter, SkipHandler sHandler, Oracle elementOracle, boolean enableTraining)
          Creates a new instance.
 



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