Uses of Class
com.aliasi.tag.Tagging

Packages that use Tagging

Package	Description
com.aliasi.chunk	Classes for extracting meaningful chunks (spans) of text.
com.aliasi.crf	Classes and interfaces for conditional random fields.
com.aliasi.hmm	Classes for estimating and decoding hidden Markov models.
com.aliasi.tag	Classes and interfaces for sequence tagging, including evaluators.

Uses of Tagging in com.aliasi.chunk

Methods in com.aliasi.chunk that return Tagging

Modifier and Type	Method and Description
Tagging<String>	TagChunkCodec.toTagging(Chunking chunking) Return the tagging that partially encodes the specified chunking.
Tagging<String>	BioTagChunkCodec.toTagging(Chunking chunking)
Tagging<String>	IoTagChunkCodec.toTagging(Chunking chunking)

Methods in com.aliasi.chunk that return types with arguments of type Tagging

Modifier and Type	Method and Description
static ObjectHandler<Tagging<String>>	TagChunkCodecAdapters.chunkingToTagging(TagChunkCodec codec, ObjectHandler<Chunking> handler) Returns the tagging handler that converts taggings to chunkings using the specified codec.

Method parameters in com.aliasi.chunk with type arguments of type Tagging

Modifier and Type	Method and Description
static ObjectHandler<Chunking>	TagChunkCodecAdapters.taggingToChunking(TagChunkCodec codec, ObjectHandler<Tagging<String>> handler) Return the chunking handler that converts chunkings to simple taggings using the specified codec.

Uses of Tagging in com.aliasi.crf

Methods in com.aliasi.crf that return Tagging

Modifier and Type	Method and Description
Tagging<E>	ChainCrf.tag(List<E> tokens)

Method parameters in com.aliasi.crf with type arguments of type Tagging

Modifier and Type

Method and Description

static <F> ChainCrf<F>

ChainCrf.estimate(Corpus<ObjectHandler<Tagging<F>>> corpus, ChainCrfFeatureExtractor<F> featureExtractor, boolean addInterceptFeature, int minFeatureCount, boolean cacheFeatureVectors, boolean allowUnseenTransitions, RegressionPrior prior, int priorBlockSize, AnnealingSchedule annealingSchedule, double minImprovement, int minEpochs, int maxEpochs, Reporter reporter) Return the CRF estimated using stochastic gradient descent with the specified prior from the specified corpus of taggings of type F pruned to the specified minimum feature count, using the specified feature extractor, automatically adding an intercept feature if the flag is true, allow unseen tag transitions as specified, using the specified training parameters for annealing, measuring convergence, and reporting the incremental results to the specified reporter.

Uses of Tagging in com.aliasi.hmm

Methods in com.aliasi.hmm that return Tagging

Modifier and Type	Method and Description
Tagging<String>	HmmDecoder.tag(List<String> tokens)

Methods in com.aliasi.hmm with parameters of type Tagging

Modifier and Type	Method and Description
void	AbstractHmmEstimator.handle(Tagging<String> tagging) Train the estimator with the specified tokens, whitespaces and states.

Uses of Tagging in com.aliasi.tag

Subclasses of Tagging in com.aliasi.tag

Modifier and Type	Class and Description
class	ScoredTagging<E> A ScoredTagging<E> represents a tagging of type E along with a real-valued score.
class	StringTagging A StringTagging is a tagging over string-based tokens that indexes each token to a position in an underlying character sequence.

Methods in com.aliasi.tag that return Tagging

Modifier and Type	Method and Description
Tagging<E>	Tagger.tag(List<E> tokens) Return the tagging for the specified list of tokens.

Methods in com.aliasi.tag with parameters of type Tagging

Modifier and Type	Method and Description
void	NBestTaggerEvaluator.addCase(Tagging<E> referenceTagging, Iterator<ScoredTagging<E>> responseTaggingIterator) Add a test case consisting of the specified reference tagging and iterator over responses.
void	TaggerEvaluator.addCase(Tagging<E> referenceTagging, Tagging<E> responseTagging) Add a test case to this evaluator consisting of the specified reference and response taggings.
void	TaggerEvaluator.addCase(Tagging<E> referenceTagging, Tagging<E> responseTagging) Add a test case to this evaluator consisting of the specified reference and response taggings.
void	MarginalTaggerEvaluator.addCase(Tagging<E> referenceTagging, TagLattice<E> responseLattice) Add a case for evaluation consisting of the gold-standard reference tagging and a lattice representing the output of a marginal tagger.
void	NBestTaggerEvaluator.handle(Tagging<E> referenceTagging) Add the specified reference tagging as a test case, with a response tagging computed by the contained n-best tagger.
void	TaggerEvaluator.handle(Tagging<E> referenceTagging) Add a case for the specified reference tagging using the contained tagger to generate a response tagging.
void	MarginalTaggerEvaluator.handle(Tagging<E> referenceTagging) Add a test case consisting of the specified reference tagging along with the lattice output of the marginal tagger being evaluated on the tokens of the reference tagging.