Uses of Class
eus.ixa.ixa.pipe.ml.utils.Span

Packages that use Span

Package	Description
eus.ixa.ixa.pipe.ml	Package containing common code for training and evaluating IXA pipes models.
eus.ixa.ixa.pipe.ml.formats	Classes to directly train NERC models from a variety of corpus formats.
eus.ixa.ixa.pipe.ml.lemma	Package containing classes related to dictionary lemmatizers.
eus.ixa.ixa.pipe.ml.nerc	Package containing Named Entity Recognition and Classification classes.
eus.ixa.ixa.pipe.ml.parse	Package containing the Parser classes.
eus.ixa.ixa.pipe.ml.pos	Package containing the POS tagging classes.
eus.ixa.ixa.pipe.ml.resources	Package containing the dictionaries, clustering lexicons and other resources.
eus.ixa.ixa.pipe.ml.sequence	The package containing all the infrastructure for Sequence objects.
eus.ixa.ixa.pipe.ml.utils	Utility classes.

Uses of Span in eus.ixa.ixa.pipe.ml

Methods in eus.ixa.ixa.pipe.ml that return Span

Modifier and Type	Method and Description
Span[][]	StatisticalSequenceLabeler.getAllTags(String[] tokens) Produces a multidimensional array containing all the taggings possible for a given sentence.
Span[]	StatisticalSequenceLabeler.lemmatizeToSpans(String[] tokens)
Span[]	StatisticalSequenceLabeler.seqToSpans(String[] tokens) Get array of Spans from a list of tokens.

Methods in eus.ixa.ixa.pipe.ml with parameters of type Span

Modifier and Type	Method and Description
List<SequenceLabel>	StatisticalSequenceLabeler.getLemmaSequencesFromSpans(String[] tokens, Span[] seqSpans)
com.google.common.collect.ListMultimap<String,String>	StatisticalSequenceLabeler.getMultipleLemmas(String[] tokens, Span[][] posTags) Takes a sentence with multiple tags alternatives for each word and produces a lemma for each of the word-tag combinations.
List<SequenceLabel>	StatisticalSequenceLabeler.getSequencesFromSpans(String[] tokens, Span[] seqSpans) Creates a list of SequenceLabel objects from spans and tokens.

Uses of Span in eus.ixa.ixa.pipe.ml.formats

Methods in eus.ixa.ixa.pipe.ml.formats that return Span

Modifier and Type	Method and Description
static Span	CoNLL02Format.extract(int begin, int end, String beginTag)

Uses of Span in eus.ixa.ixa.pipe.ml.lemma

Methods in eus.ixa.ixa.pipe.ml.lemma with parameters of type Span

Modifier and Type	Method and Description
List<String>	DictionaryLemmatizer.lemmatize(String[] tokens, Span[] postags)

Uses of Span in eus.ixa.ixa.pipe.ml.nerc

Methods in eus.ixa.ixa.pipe.ml.nerc that return Span

Modifier and Type	Method and Description
Span[]	NumericNERTagger.nercToSpans(String[] tokens)
Span[]	DictionariesNERTagger.nercToSpans(String[] tokens) Detects Named Entities in a Dictionaries by NE type ignoring case.
Span[]	DictionariesNERTagger.nercToSpansExact(String[] tokens) Detects Named Entities in a Dictionaries by NE type This method is case sensitive.

Methods in eus.ixa.ixa.pipe.ml.nerc with parameters of type Span

Modifier and Type	Method and Description
List<SequenceLabel>	NumericNERTagger.getNamesFromSpans(Span[] neSpans, String[] tokens)
List<SequenceLabel>	DictionariesNERTagger.getNamesFromSpans(Span[] neSpans, String[] tokens) Creates a list of SequenceLabel objects from spans and tokens.

Uses of Span in eus.ixa.ixa.pipe.ml.parse

Methods in eus.ixa.ixa.pipe.ml.parse that return Span

Modifier and Type	Method and Description
Span	Parse.getSpan() Returns the character offsets for this constituent.
Span	Constituent.getSpan() Returns the span of the constituent.

Methods in eus.ixa.ixa.pipe.ml.parse with parameters of type Span

Modifier and Type	Method and Description
static void	Parse.addNames(String tag, Span[] names, Parse[] tokens) Utility method to inserts named entities.

Constructors in eus.ixa.ixa.pipe.ml.parse with parameters of type Span

Constructor and Description
Constituent(String label, Span span)
Parse(String text, Span span, String type, double p, int index) Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head index.
Parse(String text, Span span, String type, double p, Parse h) Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head and head index.

Uses of Span in eus.ixa.ixa.pipe.ml.pos

Methods in eus.ixa.ixa.pipe.ml.pos that return Span

Modifier and Type	Method and Description
Span[]	MultiWordMatcher.multiWordsToSpans(String[] tokens) Detects multiword expressions ignoring case.

Uses of Span in eus.ixa.ixa.pipe.ml.resources

Methods in eus.ixa.ixa.pipe.ml.resources that return Span

Modifier and Type	Method and Description
Span[]	SequenceModelResource.seqToSpans(String[] tokens) Tag the current sentence.

Methods in eus.ixa.ixa.pipe.ml.resources with parameters of type Span

Modifier and Type	Method and Description
List<String>	MFSResource.getFirstSenseBilou(List<String> lemmas, Span[] posTags) Extract most frequent sense baseline from WordNet data, using Ciaramita and Altun's (2006) approach for bilou encoding.
List<String>	MFSResource.getFirstSenseBio(List<String> lemmas, Span[] posTags) Extract most frequent sense baseline from WordNet data, using Ciaramita and Altun's (2006) approach for a bio encoding.

Uses of Span in eus.ixa.ixa.pipe.ml.sequence

Methods in eus.ixa.ixa.pipe.ml.sequence that return Span

Modifier and Type	Method and Description
protected Span[]	SequenceLabelerDetailedFMeasureListener.asSpanArray(SequenceLabelSample sample)
protected abstract Span[]	DetailedFMeasureListener.asSpanArray(T sample)
Span[]	BilouCodec.decode(List<String> c)
Span[]	BioCodec.decode(List<String> c)
Span[]	SequenceLabelerCodec.decode(List<T> c) Decodes a sequence T objects into Span objects.
static Span[]	SequenceLabelerME.dropOverlappingSpans(Span[] spans) Removes spans with are intersecting or crossing in anyway.
Span[]	SequenceLabelSample.getSequences()
Span	SequenceLabel.getSpan() Return the Span (or null if none).
Span[][]	SequenceLabelerME.tag(int numTaggings, String[] tokens) Returns at most the specified number of taggings for the specified sentence.
Span[]	SequenceLabeler.tag(String[] tokens) Generates tags for the given sequence, typically a sentence, returning token spans for any identified sequences.
Span[]	SequenceLabelerME.tag(String[] tokens)
Span[]	SequenceLabelerME.tag(String[] tokens, String[][] additionalContext) Generates sequence tags for the given sequence, returning spans for any identified sequences.

Methods in eus.ixa.ixa.pipe.ml.sequence with parameters of type Span

Modifier and Type	Method and Description
SequenceLabel	SequenceLabelFactory.createSequence(String seqString, String seqType, Span seqSpan) Constructs a SequenceLabel as a String with a type and a Span specified in terms of the number of tokens it contains.
SequenceLabel	SequenceLabelFactory.createSequence(String seqString, String seqType, Span seqSpan, int offset, int length) Constructs a Sequence as a String with corresponding offsets and length from which to calculate start and end position of the Sequence.
static Span[]	SequenceLabelerME.dropOverlappingSpans(Span[] spans) Removes spans with are intersecting or crossing in anyway.
String[]	BilouCodec.encode(Span[] sequences, int length)
String[]	BioCodec.encode(Span[] sequences, int length)
T[]	SequenceLabelerCodec.encode(Span[] sequences, int length) Encodes Span objects into a sequence of T objects.
static String[]	SequenceLabelerEventStream.generateOutcomes(Span[] names, String type, int length) Deprecated. use the BioCodec implementation of the SequenceValidator instead!
protected void	EvaluationErrorPrinter.printError(Span[] references, Span[] predictions, T referenceSample, T predictedSample, String sentence)
protected void	EvaluationErrorPrinter.printError(Span[] references, Span[] predictions, T referenceSample, T predictedSample, String sentence)
protected void	EvaluationErrorPrinter.printError(Span[] references, Span[] predictions, T referenceSample, T predictedSample, String[] sentenceTokens)
protected void	EvaluationErrorPrinter.printError(Span[] references, Span[] predictions, T referenceSample, T predictedSample, String[] sentenceTokens)
protected void	EvaluationErrorPrinter.printError(String id, Span[] references, Span[] predictions, T referenceSample, T predictedSample, String[] sentenceTokens)
protected void	EvaluationErrorPrinter.printError(String id, Span[] references, Span[] predictions, T referenceSample, T predictedSample, String[] sentenceTokens)
double[]	SequenceLabelerME.probs(Span[] spans) Returns an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.
void	SequenceLabel.setSpan(Span span) Set the Span for the Name.

Constructors in eus.ixa.ixa.pipe.ml.sequence with parameters of type Span

Constructor and Description
SequenceLabel(String aStr, String aType, Span aSeqSpan) Create a new Sequence with the given string and Span.
SequenceLabel(String aStr, String aType, Span aSeqSpan, int aStartOffset, int aSeqLength) Creates a new Sequence with the given content.
SequenceLabelSample(String[] tokens, Span[] sequences, boolean clearAdaptiveData)
SequenceLabelSample(String[] tokens, Span[] sequences, String[][] additionalContext, boolean clearAdaptiveData) Initializes the current instance.
SequenceLabelSample(String id, String[] tokens, Span[] sequences, String[][] additionalContext, boolean clearAdaptiveData)

Uses of Span in eus.ixa.ixa.pipe.ml.utils

Methods in eus.ixa.ixa.pipe.ml.utils that return Span

Modifier and Type	Method and Description
Span	Span.trim(CharSequence text) Return a copy of this span with leading and trailing white spaces removed.

Methods in eus.ixa.ixa.pipe.ml.utils with parameters of type Span

Modifier and Type	Method and Description
int	Span.compareTo(Span s) Compares the specified span to the current span.
static void	Span.concatenateSpans(List<Span> allSpans, Span[] neSpans) Concatenates two span lists adding the spans of the second parameter to the list in first parameter.
boolean	Span.contains(Span s) Returns true if the specified span is contained by this span.
boolean	Span.crosses(Span s) Returns true is the specified span crosses this span.
static String[]	StringUtils.decodeLemmas(String[] tokens, Span[] preds) Decodes the lemma from the word and the induced lemma class.
static void	StringUtils.decodeLemmasToSpans(String[] tokens, Span[] preds) Decodes the lemma induced type into the lemma and sets it as value of the Span type.
static String[]	Span.getTypesFromSpans(Span[] spans, String[] tokens) Get an array of Spans and their associated tokens and obtains an array of Strings containing the type for each Span.
boolean	Span.intersects(Span s) Returns true if the specified span intersects with this span.
static void	Span.postProcessDuplicatedSpans(List<Span> preList, Span[] postList) Removes spans from the preList if the span is contained in the postList.
static String[]	Span.spansToStrings(Span[] spans, CharSequence s) Converts an array of Spans to an array of Strings.
static String[]	Span.spansToStrings(Span[] spans, String[] tokens)
boolean	Span.startsWith(Span s) Returns true if the specified span is the begin of this span and the specified span is contained in this span.

Method parameters in eus.ixa.ixa.pipe.ml.utils with type arguments of type Span

Modifier and Type	Method and Description
static void	Span.concatenateSpans(List<Span> allSpans, Span[] neSpans) Concatenates two span lists adding the spans of the second parameter to the list in first parameter.
static void	Span.postProcessDuplicatedSpans(List<Span> preList, Span[] postList) Removes spans from the preList if the span is contained in the postList.

Constructors in eus.ixa.ixa.pipe.ml.utils with parameters of type Span

Constructor and Description
Span(Span span, double prob) Creates a new immutable span based on an existing span, where the existing span did not include the prob
Span(Span span, int offset) Initializes a new Span object with an existing Span which is shifted by an offset.