Uses of Class
edu.umass.cs.mallet.base.pipe.Pipe

Packages that use Pipe

Package	Description
edu.umass.cs.mallet.base.classify
edu.umass.cs.mallet.base.cluster
edu.umass.cs.mallet.base.extract
edu.umass.cs.mallet.base.extract.pipe
edu.umass.cs.mallet.base.fst
edu.umass.cs.mallet.base.fst.tests
edu.umass.cs.mallet.base.pipe
edu.umass.cs.mallet.base.pipe.iterator
edu.umass.cs.mallet.base.pipe.tests
edu.umass.cs.mallet.base.pipe.tsf
edu.umass.cs.mallet.base.types
edu.umass.cs.mallet.projects.seg_plus_coref.anaphora
edu.umass.cs.mallet.projects.seg_plus_coref.clustering
edu.umass.cs.mallet.projects.seg_plus_coref.condclust.cluster
edu.umass.cs.mallet.projects.seg_plus_coref.condclust.pipe
edu.umass.cs.mallet.projects.seg_plus_coref.condclust.tui
edu.umass.cs.mallet.projects.seg_plus_coref.coreference
edu.umass.cs.mallet.projects.seg_plus_coref.ie
edu.umass.cs.mallet.share.casutton.ner
edu.umass.cs.mallet.share.mccallum.ner
edu.umass.cs.mallet.share.upenn.ner
edu.umass.cs.mallet.share.weili.ner.enron

Uses of Pipe in edu.umass.cs.mallet.base.classify

Fields in edu.umass.cs.mallet.base.classify declared as Pipe

Modifier and Type	Field and Description
protected Pipe	Classifier.instancePipe

Methods in edu.umass.cs.mallet.base.classify that return Pipe

Modifier and Type	Method and Description
Pipe	Classifier.getInstancePipe()

Constructors in edu.umass.cs.mallet.base.classify with parameters of type Pipe

Constructor and Description
AdaBoost(Pipe instancePipe, Classifier[] weakClassifiers, double[] alphas)
AdaBoostM2(Pipe instancePipe, Classifier[] weakClassifiers, double[] alphas)
BaggingClassifier(Pipe instancePipe, Classifier[] baggedClassifiers)
BalancedWinnow(Pipe dataPipe, double[][] weights) Passes along data pipe and weights from BalancedWinnowTrainer
C45(Pipe instancePipe, C45.Node root)
Classifier(Pipe instancePipe)
ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer, Pipe confidencePredictingPipe)
DecisionTree(Pipe instancePipe, DecisionTree.Node root)
MaxEnt(Pipe dataPipe, double[] parameters)
MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)
MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)
MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)
NaiveBayes(Pipe instancePipe, Multinomial.Logged prior, Multinomial.Logged[] classIndex2FeatureProb) Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.
NaiveBayes(Pipe dataPipe, Multinomial prior, Multinomial[] classIndex2FeatureProb) Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.
Winnow(Pipe dataPipe, double[][] newWeights, double theta, int idim, int jdim) Passes along data pipe and weights from WinnowTrainer

Uses of Pipe in edu.umass.cs.mallet.base.cluster

Constructors in edu.umass.cs.mallet.base.cluster with parameters of type Pipe

Constructor and Description
Clusterer(Pipe instancePipe)
KMeans(Pipe instancePipe, int numClusters, Metric metric) Construct a KMeans object
KMeans(Pipe instancePipe, int numClusters, Metric metric, int emptyAction) Construct a KMeans object

Uses of Pipe in edu.umass.cs.mallet.base.extract

Methods in edu.umass.cs.mallet.base.extract that return Pipe

Modifier and Type	Method and Description
Pipe	Extractor.getFeaturePipe() Returns the pipe used by this extractor for.
Pipe	CRFExtractor.getFeaturePipe()
Pipe	Extractor.getTokenizationPipe() Returns the pipe used by this extractor to tokenize the input.
Pipe	CRFExtractor.getTokenizationPipe()

Methods in edu.umass.cs.mallet.base.extract with parameters of type Pipe

Modifier and Type	Method and Description
void	CRFExtractor.setFeaturePipe(Pipe featurePipe)
void	Extractor.setTokenizationPipe(Pipe pipe) Sets the pipe used by this extractor for tokenization.
void	CRFExtractor.setTokenizationPipe(Pipe tokenizationPipe)

Constructors in edu.umass.cs.mallet.base.extract with parameters of type Pipe

Constructor and Description
CRFExtractor(CRF4 crf, Pipe tokpipe)
CRFExtractor(CRF4 crf, Pipe tokpipe, TokenizationFilter filter)
CRFExtractor(CRF4 crf, Pipe tokpipe, TokenizationFilter filter, String backgroundTag)
TransducerExtractionConfidenceEstimator(TransducerConfidenceEstimator confidenceEstimator, Object[] startTags, Object[] continueTags, Pipe featurePipe)

Uses of Pipe in edu.umass.cs.mallet.base.extract.pipe

Subclasses of Pipe in edu.umass.cs.mallet.base.extract.pipe

Modifier and Type	Class and Description
class	TokenSequence2Tokenization Heuristically converts a simple token sequence into a Tokenization that can be used with all the extract package goodies.

Uses of Pipe in edu.umass.cs.mallet.base.fst

Subclasses of Pipe in edu.umass.cs.mallet.base.fst

Modifier and Type	Class and Description
static class	SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence Converts an external encoding of a sequence of elements with binary features to a FeatureVectorSequence.

Fields in edu.umass.cs.mallet.base.fst declared as Pipe

Modifier and Type	Field and Description
protected Pipe	Transducer.inputPipe A pipe that should produce a Sequence in the "data" slot, (and possibly one in the "target" slot also
protected Pipe	Transducer.outputPipe A pipe that should expect a ViterbiPath in the "target" slot, and should produce something printable in the "source" slot that indicates the results of transduction.

Methods in edu.umass.cs.mallet.base.fst that return Pipe

Modifier and Type	Method and Description
Pipe	Transducer.getInputPipe()
Pipe	Transducer.getOutputPipe()

Constructors in edu.umass.cs.mallet.base.fst with parameters of type Pipe

Constructor and Description
CRF(Pipe inputPipe, Pipe outputPipe)
CRF2(Pipe inputPipe, Pipe outputPipe)
CRF3(Pipe inputPipe, Pipe outputPipe)
CRF4(Pipe inputPipe, Pipe outputPipe)
CRFByGISUpdate(Pipe inputPipe, Pipe outputPipe)
HMM(Pipe inputPipe, Pipe outputPipe)
MEMM(Pipe inputPipe, Pipe outputPipe)

Uses of Pipe in edu.umass.cs.mallet.base.fst.tests

Subclasses of Pipe in edu.umass.cs.mallet.base.fst.tests

Modifier and Type	Class and Description
class	TestCRF.TestCRF2String
static class	TestCRF.TestCRFTokenSequenceRemoveSpaces
class	TestCRF2.TestCRF2String
class	TestCRF2.TestCRFTokenSequenceRemoveSpaces
class	TestCRF3.TestCRF2String
static class	TestCRF3.TestCRFTokenSequenceRemoveSpaces
class	TestCRF4.TestCRF2String
static class	TestCRF4.TestCRFTokenSequenceRemoveSpaces
class	TestMEMM.TestMEMM2String
static class	TestMEMM.TestMEMMTokenSequenceRemoveSpaces

Methods in edu.umass.cs.mallet.base.fst.tests that return Pipe

Modifier and Type	Method and Description
static Pipe	TestMEMM.makeSpacePredictionPipe()

Uses of Pipe in edu.umass.cs.mallet.base.pipe

Subclasses of Pipe in edu.umass.cs.mallet.base.pipe

Modifier and Type	Class and Description
class	AddClassifierTokenPredictions This pipe uses a Classifier to label each token (i.e., using 0-th order Markov assumption), then adds the predictions as features to each token.
class	Array2FeatureVector Converts a Java array of numerical types to a FeatureVector, where the Alphabet is the data array index wrapped in an Integer object.
class	AugmentableFeatureVectorAddConjunctions Add specified conjunctions to each instance.
class	AugmentableFeatureVectorLogScale Given an AugmentableFeatureVector, set those values greater than or equal to 1 to log(value)+1.
class	CharSequence2CharNGrams Transform a character sequence into a token sequence of character N grams.
class	CharSequence2TokenSequence Pipe that tokenizes a character sequence.
class	CharSequenceArray2TokenSequence Transform an array of character Sequences into a token sequence.
class	CharSequenceReplace Given a string, repeatedly look for matches of the regex, and replace the entire match with the given replacement string.
class	CharSubsequence Given a string, return only the portion of the string inside a regex parenthesized group.
class	Classification2ConfidencePredictingFeatureVector Pipe features from underlying classifier to the confidence prediction instance list
class	Csv2Array Converts a string of comma separated values to an array.
class	Csv2FeatureVector Converts a string of the form feature_1:val_1 feature_2:val_2 ...
class	Directory2FileIterator Convert a File object representing a directory into a FileIterator which iterates over files in the directory matching a pattern and which extracts a label from each file path to become the target field of the instance.
class	FeatureSequence2AugmentableFeatureVector Convert the data field from a feature sequence to an augmentable feature vector.
class	FeatureSequence2FeatureVector Convert the data field from a feature sequence to a feature vector.
class	FeatureValueString2FeatureVector Unimplemented.
class	FeatureVectorConjunctions Include in the FeatureVector conjunctions of all its features.
class	Filename2CharSequence Given a filename contained in a string, read in contents of file into a CharSequence.
class	Input2CharSequence Pipe that can read from various kinds of text sources (either URI, File, or Reader) into a CharSequence
class	InstanceListTrimFeaturesByCount Unimplemented.
class	IteratingPipe Converts the iterator in the data field to a PipeOutputAccumulation of the values spanned by the iterator.
class	LineGroupString2TokenSequence
class	MakeAmpersandXMLFriendly convert & to &amp in tokens of a token sequence
class	Noop A pipe that does nothing to the instance fields but which has side effects on the dictionary.
class	ParallelPipes Convert an instance to the PipeOutputAccumulator output produced by running the original instance through each of the sub pipes contained in the parallel pipe.
class	PrintInput Print the data field of each instance.
class	PrintInputAndTarget Print the data and target fields of each instance.
class	PrintTokenSequenceFeatures Print properties of the token sequence in the data field and the corresponding value of any token in a token sequence or feature in a featur sequence in the target field.
class	SaveDataInSource Set the source field of each instance to its data field.
class	SelectiveSGML2TokenSequence Similar to SGML2TokenSequence, except that only the tags listed in allowedTags are converted to Labels.
class	SerialPipes Convert an instance through a sequence of pipes.
class	SGML2TokenSequence Converts a string containing simple SGML tags into a dta TokenSequence of words, paired with a target TokenSequence containing the SGML tags in effect for each word.
class	SimpleTaggerSentence2TokenSequence Converts an external encoding of a sequence of elements with binary features to a TokenSequence.
class	SourceLocation2TokenSequence Read from File or BufferedRead in the data field and produce a TokenSequence.
class	StringAddNewLineDelimiter Pipe that can adds special text between lines to explicitly represent line breaks.
class	Target2FeatureSequence Convert a token sequence in the target field into a feature sequence in the target field.
class	Target2Label Convert object in the target field into a label in the target field.
class	Target2LabelSequence convert a token sequence in the target field into a label sequence in the target field.
class	TargetRememberLastLabel For each position in the target, remember the last non-background label.
class	Token2FeatureVector convert the property list on a token into a feature vector
class	TokenSequence2FeatureSequence Convert the token sequence in the data field each instance to a feature sequence.
class	TokenSequence2FeatureSequenceWithBigrams Convert the token sequence in the data field of each instance to a feature sequence that preserves bigram information.
class	TokenSequence2FeatureVectorSequence Convert the token sequence in the data field of each instance to a feature vector sequence.
class	TokenSequence2TokenIterator Convert the token sequence in the data field of each instance to a token iterator
class	TokenSequenceLowercase Convert the text in each token in the token sequence in the data field to lower case.
class	TokenSequenceMatchDataAndTarget Run a regular expression over the text of each token; replace the text with the substring matching one regex group; create a target TokenSequence from the text matching another regex group.
class	TokenSequenceNGrams Convert the token sequence in the data field to a token sequence of ngrams.
class	TokenSequenceParseFeatureString
class	TokenSequenceRemoveNonAlpha Remove tokens that contain non-alphabetic characters.
class	TokenSequenceRemoveStopwords Remove tokens from the token sequence in the data field whose text is in the stopword list.

Methods in edu.umass.cs.mallet.base.pipe that return Pipe

Modifier and Type	Method and Description
Pipe	Pipe.getParent()
Pipe	Pipe.getParentRoot()
Pipe	SerialPipes.getPipe(int index)

Methods in edu.umass.cs.mallet.base.pipe with parameters of type Pipe

Modifier and Type	Method and Description
protected void	SerialPipes.add(Pipe pipe)
protected void	ParallelPipes.add(Pipe pipe)
static PipeOutputAccumulator	IteratingPipe.iteratePipe(Pipe iteratedPipe, PipeOutputAccumulator accumulator, Instance carrier)
void	PipeOutputArrayList.pipeOutputAccumulate(Instance carrier, Pipe iteratedPipe)
void	PipeOutputAccumulator.pipeOutputAccumulate(Instance carrier, Pipe subPipe)
void	SerialPipes.replacePipe(int index, Pipe p)
static void	AddClassifierTokenPredictions.setInProduction(Pipe p, boolean value)
void	Pipe.setParent(Pipe p)

Constructors in edu.umass.cs.mallet.base.pipe with parameters of type Pipe

Constructor and Description
IteratingPipe(Pipe iteratedPipe)
IteratingPipe(PipeOutputAccumulator accumulator, Pipe iteratedPipe)
ParallelPipes(PipeOutputAccumulator accumulator, Pipe[] pipes)
SerialPipes(Pipe[] pipes)

Uses of Pipe in edu.umass.cs.mallet.base.pipe.iterator

Constructors in edu.umass.cs.mallet.base.pipe.iterator with parameters of type Pipe

Constructor and Description
PipeExtendedIterator(PipeInputIterator iterator, Pipe pipe) Creates a new PipeExtendedIterator instance.

Uses of Pipe in edu.umass.cs.mallet.base.pipe.tests

Subclasses of Pipe in edu.umass.cs.mallet.base.pipe.tests

Modifier and Type	Class and Description
static class	TestInstancePipe.Array2ArrayIterator
static class	TestSGML2TokenSequence.Array2ArrayIterator

Uses of Pipe in edu.umass.cs.mallet.base.pipe.tsf

Subclasses of Pipe in edu.umass.cs.mallet.base.pipe.tsf

Modifier and Type	Class and Description
class	CountMatches
class	CountMatchesAlignedWithOffsets
class	CountMatchesMatching
class	FeaturesInWindow
class	FeaturesOfFirstMention
class	LexiconMembership
class	OffsetConjunctions
class	OffsetFeatureConjunction
class	OffsetPropertyConjunctions
class	RegexMatches
class	SequencePrintingPipe Created: Jul 6, 2005
class	Target2BIOFormat Creates a LabelSequence out of a TokenSequence that is the target of an Instance.
class	TokenText
class	TokenTextCharNGrams
class	TokenTextCharPrefix
class	TokenTextCharSuffix
class	TokenTextNGrams
class	TrieLexiconMembership

Uses of Pipe in edu.umass.cs.mallet.base.types

Methods in edu.umass.cs.mallet.base.types that return Pipe

Modifier and Type	Method and Description
Pipe	InstanceList.Stream.getInstancePipe()
Pipe	InstanceList.getPipe() Returns the pipe through which each added Instance is passed, which may be null.
Pipe	Instance.getPipe()

Methods in edu.umass.cs.mallet.base.types with parameters of type Pipe

Modifier and Type	Method and Description
Object	Instance.getData(Pipe p) This is a left-over convenience method that may be removed.
Instance	Instance.getPipedCopy(Pipe p)
void	TokenSequence.pipeOutputAccumulate(Instance carrier, Pipe iteratedPipe)
void	InstanceList.pipeOutputAccumulate(Instance carrier, Pipe iteratedPipe)
protected void	Instance.setPipe(Pipe p)

Constructors in edu.umass.cs.mallet.base.types with parameters of type Pipe

Constructor and Description
Instance(Object data, Object target, Object name, Object source, Pipe p) Initialize the slots with the given four values, then put the Instance through the given pipe, then lock the instance.
InstanceList(Pipe pipe) Creates a list with the given pipe.
InstanceList(Pipe pipe, int capacity) Creates a list with the given pipe and initial capacity where all added instances are passed through the specified pipe.
PagedInstanceList(Pipe pipe)
PagedInstanceList(Pipe pipe, int size)
PagedInstanceList(Pipe pipe, int size, int instancesPerPage, File swapDir) Creates a PagedInstanceList where "instancesPerPage" instances are swapped to disk in directory "swapDir" if the amount of free system memory drops below "minFreeMemory" bytes

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.anaphora

Subclasses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.anaphora

Modifier and Type	Class and Description
class	AceTypeFeature
class	AcronymOf
class	AffixOfMentionPair
class	GenderMentionPair
class	HobbsDistanceMentionPair
class	LinearDistanceMentionPair
class	MentionPair2FeatureVector
class	MentionPair2FeatureVectorFilter
class	MentionPairAntecedentPosition
class	MentionPairHeadIdentical
class	MentionPairIdentical
class	MentionPairNPDistance
class	MentionPairSentenceDistance
class	MentionPairSubstring
class	ModifierWordFeatures
class	NullAntecedentFeatureExtractor
class	PartOfSpeechMentionPair
class	TokenFeaturesMentionPair

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.clustering

Subclasses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.clustering

Modifier and Type	Class and Description
class	SGML2FieldsPipe

Methods in edu.umass.cs.mallet.projects.seg_plus_coref.clustering with parameters of type Pipe

Modifier and Type	Method and Description
static void	TUI.constructEdgesUsingTrainedClusterer(MappedGraph graph, Instance instPair, Matrix2 lambdas, Pipe instancePipe)
static void	TUI.runTrainedModel(Iterator iter1, ClusterLearner learner, Pipe instancePipe)

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.clustering with parameters of type Pipe

Constructor and Description
ClusterLearner(int numEpochs, Set trainingDocuments, Pipe p, int yesIndex, int noIndex)
ClusterLearner(int numEpochs, Set trainingDocuments, Pipe p, MaxEnt classifier, int yesIndex, int noIndex)
ClusterLearnerAvg(int numEpochs, Set trainingDocuments, Pipe p, int yI, int nI)
ClusterLearnerAvg(int numEpochs, Set trainingDocuments, Pipe p, MaxEnt classifier, int yI, int nI)

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.cluster

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.cluster with parameters of type Pipe

Constructor and Description
ConditionalClusterer(Pipe _pipe, Classifier _classifier)
ConditionalClusterer(Pipe _pipe, Classifier _classifier, double _threshold)
ConditionalClustererTrainer(Pipe _p)
ConditionalClustererTrainer(Pipe _p, ClassifierTrainer _classifierTrainer)
ConditionalClustererTrainer(Pipe _p, ClassifierTrainer _classifierTrainer, double _threshold)
ConditionalClustererTrainer(Pipe _p, double _threshold)

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.pipe

Subclasses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.pipe

Modifier and Type	Class and Description
class	AllLinks Subsumes ClosestSingleLink, AverageLink, FarthestLink to save computation
class	AverageLink Feature is similarity between node and closest node in cluster, as determined by the classifier
class	ClosestSingleLink Feature is similarity between node and closest node in cluster, as determined by the classifier
class	ClusterHomogeneity Feature is average within-class similarity.
class	ClusterSize Feature is size of cluster...to penalize large clusters.
class	FarthestSingleLink Feature is similarity between node and farthest node in cluster, as determined by the classifier
class	ForAll Sets a feature for each element of "fields" that is true if it is an exact string match for Node and for all Nodes in the Cluster
class	NNegativeNodes Feature is true if there exist at least N nodes in Cluster that have a negative edge weight with Node
class	NodeClusterPair2FeatureVector
class	PaperClusterPrediction Feature is the output of the paperClusterClassifier
class	ThereExists Sets a feature for each element of "fields" that is true if it is an exact string match for Node and for some Node in the Cluster
class	ThereExistsMatch More specific "does there exist a node such that" questions
class	VenueClusterPrediction Feature is the output of the paperClusterClassifier
class	VenuePaperCluster2FeatureVector

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.tui

Methods in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.tui that return Pipe

Modifier and Type	Method and Description
Pipe	PairwiseClustererTUI.getPaperPipe(ArrayList nodes)
Pipe	PairwiseClustererTUI.getPipe(Classifier pairwiseClassifier) Create pipe for conditionalClusterer

Methods in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.tui with parameters of type Pipe

Modifier and Type	Method and Description
Classifier	PairwiseClustererTUI.trainPairwiseClassifier(ArrayList[] nodes, Pipe p)

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.coreference

Subclasses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.coreference

Modifier and Type	Class and Description
class	AuthorLastNameEqual
class	AuthorPipe
class	BooktitlePipe
class	DatePipe
class	ExactFieldMatchPipe FieldStringDistancePipe User: mhay Email: mhay@cs.umass.edu Date: Feb 18, 2004 4:40:24 PM
class	FieldStringDistancePipe FieldStringDistancePipe User: mhay Email: mhay@cs.umass.edu Date: Feb 18, 2004 4:40:24 PM
class	FuchunPipe
class	GlobalPipe
class	GlobalPipeUnSeg
class	HeuristicPipe
class	InterFieldPipe
class	JournalPipe
class	NodePair2FeatureVector
class	NodePairSaveSource
class	NormalizationPipe
class	PageMatchPipe FieldStringDistancePipe User: mhay Email: mhay@cs.umass.edu Date: Feb 18, 2004 4:40:24 PM
class	PagesPipe
class	PlainFieldPipe
class	PublisherPipe
class	RegexPipe features about regex matches in a field
class	SGMLStringDistances
class	SplitFieldStringDistancePipe Uses a StringDistance on two perversions of the original strings.
class	StringDistances
class	TechPipe
class	TitlePipe
class	VenueAcronymPipe Heuristically guesses acronym of two venues.
class	VenuePipe
class	VolumesMatchPipe feature is 1 if both string have things that look like volumes/editions, but their numbers don't match
class	YearPipe
class	YearsWithinFivePipe FieldStringDistancePipe User: mhay Email: mhay@cs.umass.edu Date: Feb 18, 2004 4:40:24 PM

Methods in edu.umass.cs.mallet.projects.seg_plus_coref.coreference with parameters of type Pipe

Modifier and Type	Method and Description
static InstanceList	CitationUtils.makePairs(Pipe instancePipe, ArrayList nodes)
protected static InstanceList	BenTUISGD.makePairs(Pipe instancePipe, ArrayList nodes)
protected static InstanceList	BenTUI1.makePairs(Pipe instancePipe, ArrayList nodes)
protected static InstanceList	BenCitationTUINoSeg.makePairs(Pipe instancePipe, ArrayList nodes)
protected static InstanceList	BenCitationTUI2.makePairs(Pipe instancePipe, ArrayList nodes)
static InstanceList	CitationUtils.makePairs(Pipe instancePipe, ArrayList nodes, double negativeProb)
static InstanceList	CitationUtils.makePairs(Pipe instancePipe, ArrayList nodes, List pairs)
protected static InstanceList	BenTUISGD.makePairs(Pipe instancePipe, ArrayList nodes, List pairs)
protected static InstanceList	BenTUI1.makePairs(Pipe instancePipe, ArrayList nodes, List pairs)
protected static InstanceList	BenCitationTUINoSeg.makePairs(Pipe instancePipe, ArrayList nodes, List pairs)
protected static InstanceList	BenCitationTUI2.makePairs(Pipe instancePipe, ArrayList nodes, List pairs)

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.coreference with parameters of type Pipe

Constructor and Description
CorefCluster2(MaxEnt classifier, Pipe instancePipe)
CorefClusterAdv(double threshold, MaxEnt classifier, Pipe p)
CorefClusterAdv(double threshold, MaxEnt classifier, TreeModel tm, Pipe p)
CorefClusterAdv(Pipe p)
CorefClusterAdv(Pipe p, TreeModel tm)
MultipleCorefClusterer(Pipe[] _pipes)
SGDLearner(double decayRate, int numEpochs, Pipe p, Collection keyPart)
TreeModel(Pipe instancePipe, ArrayList nodes, ArrayList pubs)
TreeModel(Pipe instancePipe, ArrayList nodes1, ArrayList nodes2, ArrayList nodes3, ArrayList pubs1, ArrayList pubs2, ArrayList pubs3)

Uses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.ie

Subclasses of Pipe in edu.umass.cs.mallet.projects.seg_plus_coref.ie

Modifier and Type	Class and Description
class	POSFeaturesPipe
static class	TUI_CorefIE.BogusClusterPipe
static class	TUI_CorefIE.NegativeClusterFeaturePipe
static class	TUI_CorefIE.NumAppearancesInClusterPipe
static class	TUI_CorefIE.WordAppearsInAnyClusterPipe
static class	TUI_CorefIE.WordOftenAppearsAsPipe

Methods in edu.umass.cs.mallet.projects.seg_plus_coref.ie with parameters of type Pipe

Modifier and Type	Method and Description
void	IEInterface.replacePipe(int index, Pipe p)

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.ie with parameters of type Pipe

Constructor and Description
AllClusterSegmentation(InstanceList clusterlist, Pipe pipe) make an AllClusterSegmentation from the true segmentation of an instancelist

Uses of Pipe in edu.umass.cs.mallet.share.casutton.ner

Subclasses of Pipe in edu.umass.cs.mallet.share.casutton.ner

Modifier and Type	Class and Description
class	ConllNer2003Sentence2TokenSequence Reads a data file in CoNLL 2003 format, and makes some simple transformations.

Uses of Pipe in edu.umass.cs.mallet.share.mccallum.ner

Subclasses of Pipe in edu.umass.cs.mallet.share.mccallum.ner

Modifier and Type	Class and Description
class	TokenSequenceDocHeader

Uses of Pipe in edu.umass.cs.mallet.share.upenn.ner

Subclasses of Pipe in edu.umass.cs.mallet.share.upenn.ner

Modifier and Type	Class and Description
class	FeatureWindow Adds all features of tokens in the window to the center token.
class	LengthBins A feature approximating string length.
class	ListMember Checks membership in a lexicon in a text file.
class	LongRegexMatches Matches a regular expression which spans several tokens.
class	NEPipes

Uses of Pipe in edu.umass.cs.mallet.share.weili.ner.enron

Subclasses of Pipe in edu.umass.cs.mallet.share.weili.ner.enron

Modifier and Type	Class and Description
class	EnronMessage2TokenSequence