Index (ixa-pipe-nerc 1.6.0 API)

A B C D E F G H I L M N O P R S T U V W X

A

AbstractTrainer - Class in eus.ixa.ixa.pipe.nerc.train: Abstract class for common training functionalities.
AbstractTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Construct a trainer with training and test data, and with options for language, beamsize for decoding, sequence codec and corpus format (conll or opennlp).
Annotate - Class in eus.ixa.ixa.pipe.nerc: Annotation class for Named Entities in ixa-pipe-nerc.
Annotate(Properties) - Constructor for class eus.ixa.ixa.pipe.nerc.Annotate: It manages the use of the three different name finders: StatisticalNameFinder, DictionariesNameFinder and NumericNameFinder.
annotate(InputStream, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.CLI: Main method to do Named Entity tagging.
annotateNEs(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Classify Named Entities creating the entities layer in the KAFDocument using statistical models, post-processing and/or dictionaries only.
annotateNEsToCoNLL2002(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Output Conll2002 format.
annotateNEsToCoNLL2003(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Output Conll2003 format.
annotateNEsToKAF(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Output annotation as NAF.
annotateNEsToOpenNLP(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Output annotation in OpenNLP format.
annotateOTE(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.OpinionTargetExtractor: Extract Opinion Targets.
annotateOTEsToKAF(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.OpinionTargetExtractor: Output annotation as NAF.
annotateOTEsToOpenNLP(KAFDocument) - Method in class eus.ixa.ixa.pipe.nerc.OpinionTargetExtractor: Output annotation in OpenNLP format.

B

BigramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Adds bigram features based on tokens and token class using TokenClassFeatureGenerator.
BigramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.BigramClassFeatureGenerator
BrownBigramFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
BrownBigramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.BrownBigramFeatureGenerator
BrownCluster - Class in eus.ixa.ixa.pipe.nerc.dict: Class to load a Brown cluster document: word\tword_class\tprob http://metaoptimize.com/projects/wordreprs/ The file containing the clustering lexicon has to be passed as the argument of the BrownClusterFeatures parameter in the prop file.
BrownCluster(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.BrownCluster: Generates the token to cluster map from Brown cluster input file.
BrownCluster.BrownClusterSerializer - Class in eus.ixa.ixa.pipe.nerc.dict
BrownClusterSerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.BrownCluster.BrownClusterSerializer
BrownTokenClasses - Class in eus.ixa.ixa.pipe.nerc.features: Obtain the paths listed in the pathLengths array from the Brown class.
BrownTokenClasses() - Constructor for class eus.ixa.ixa.pipe.nerc.features.BrownTokenClasses
BrownTokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
BrownTokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.BrownTokenClassFeatureGenerator
BrownTokenFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
BrownTokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.BrownTokenFeatureGenerator
BrownTrigramFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
BrownTrigramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.BrownTrigramFeatureGenerator

C

CHAR_NGRAM_RANGE - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
CharacterNgramFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.CharacterNgramFeatureGenerator: Initializes the current instance.
ClarkCluster - Class in eus.ixa.ixa.pipe.nerc.dict: Class to load a Clark cluster document: word\\s+word_class\\s+prob https://github.com/ninjin/clark_pos_induction The file containing the clustering lexicon has to be passed as the argument of the DistSim property.
ClarkCluster(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster
ClarkCluster.ClarkClusterSerializer - Class in eus.ixa.ixa.pipe.nerc.dict
ClarkClusterSerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster.ClarkClusterSerializer
ClarkFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
ClarkFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Clear the adaptiveData for each document.
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownBigramFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClassFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTrigramFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.CharacterNgramFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.DictionaryFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.MFSFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.MorphoFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.Prev2MapFeatureGenerator: Clears the previous map.
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapFeatureGenerator: Clears the previous map.
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapTokenFeatureGenerator: Clears the previous map.
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.SentenceFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.SuperSenseFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.Word2VecClusterFeatureGenerator
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator
clearAdaptiveData() - Method in interface eus.ixa.ixa.pipe.nerc.NameFinder: Forget all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.NumericNameFinder
clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.nerc.StatisticalNameFinder: Forgets all adaptive data which was collected during previous calls to one of the find methods.
CLI - Class in eus.ixa.ixa.pipe.nerc: Main class of ixa-pipe-nerc, the ixa pipes (ixa2.si.ehu.es/ixa-pipes) sequence labeler.
CLI() - Constructor for class eus.ixa.ixa.pipe.nerc.CLI: Construct a CLI object with the sub-parsers to manage the command line parameters.
client(InputStream, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.CLI: The client to query the TCP server for annotation.
close() - Method in class eus.ixa.ixa.pipe.nerc.formats.CoNLL02Format
close() - Method in class eus.ixa.ixa.pipe.nerc.formats.CoNLL03Format
concatenateSpans(List<Span>, Span[]) - Static method in class eus.ixa.ixa.pipe.nerc.SpanUtils: Concatenates two span lists adding the spans of the second parameter to the list in first parameter.
CoNLL02Format - Class in eus.ixa.ixa.pipe.nerc.formats: 2 fields CoNLL 2002 tabulated format: word\tabclass\n B- start chunk I- inside chunk O- outside chunk.
CoNLL02Format(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.nerc.formats.CoNLL02Format: Construct a Name Stream from a language and a ObjectStream.
CoNLL02Format(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.nerc.formats.CoNLL02Format: Construct a Name Stream from a language and an input stream.
CoNLL03Format - Class in eus.ixa.ixa.pipe.nerc.formats: 2 fields CoNLL 2003 tabulated format: word\tabclass\n I- start chunk B- begin chunk when next to same class entity O- outside chunk
CoNLL03Format(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.nerc.formats.CoNLL03Format: Construct a CoNLL03Format formatter.
CoNLL03Format(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.nerc.formats.CoNLL03Format: Construct a CoNLL03 formatter.
convertToConLLTypes(String) - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Convert Entity class annotation to CoNLL formats.
corpusFormatException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.BrownCluster.BrownClusterSerializer
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster.ClarkClusterSerializer
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary.DictionarySerializer
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.LemmaResource.LemmaResourceSerializer
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource.MFSResourceSerializer
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.POSModelResource.POSModelResourceSerializer
create(InputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster.Word2VecClusterSerializer
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BigramClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownBigramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTrigramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.CharacterNgramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.DictionaryFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.FivegramClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.FourgramClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.MFSFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.MorphoFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.OutcomePriorFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.Prefix34FeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.Prev2MapFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapTokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.SentenceFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.SuffixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.SuperSenseFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.TokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.TokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.TrigramClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.Word2VecClusterFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator
createName(String, String) - Method in class eus.ixa.ixa.pipe.nerc.NameFactory: Constructs a Name as a String with a class type (e.g.
createName(String, String, Span) - Method in class eus.ixa.ixa.pipe.nerc.NameFactory: Constructs a Name as a String with a type and a Span specified in terms of the number of tokens it contains.
createName(String, String, int, int) - Method in class eus.ixa.ixa.pipe.nerc.NameFactory: Constructs a Name as a String with corresponding offsets and length from which to calculate start and end position of the Name.
createName(String, String, Span, int, int) - Method in class eus.ixa.ixa.pipe.nerc.NameFactory: Constructs a Name as a String with corresponding offsets and length from which to calculate start and end position of the Name.
createTrainer(TrainingParameters) - Method in class eus.ixa.ixa.pipe.nerc.train.FixedTrainer: Create TokenNameFinderFactory with custom features.
createXMLFeatureDescriptor(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Generate the XML feature descriptor from the TrainingParameters prop file.
crossValidate() - Method in class eus.ixa.ixa.pipe.nerc.CLI: Main access to the cross validation.
crossValidate(TrainingParameters) - Method in class eus.ixa.ixa.pipe.nerc.eval.CrossValidator
CrossValidator - Class in eus.ixa.ixa.pipe.nerc.eval: Abstract class for common training functionalities.
CrossValidator(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.nerc.eval.CrossValidator

D

datasetException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
DEBUG - Static variable in class eus.ixa.ixa.pipe.nerc.dict.Dictionaries
DEBUG - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags: Default beam size for decoding.
DEFAULT_DICT_OPTION - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_DICT_PATH - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_EVAL_FORMAT - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_EVALUATE_MODEL - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_FEATURE_FLAG - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_FOLDS_VALUE - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_HOSTNAME - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_LEXER - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_MFS_RANGE - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_MORPHO_RANGE - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_NE_TYPES - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_OUTPUT_FORMAT - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_SEQUENCE_CODEC - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_SUPERSENSE_RANGE - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_TASK - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
DEFAULT_WINDOW - Static variable in class eus.ixa.ixa.pipe.nerc.train.Flags
detailEvaluate() - Method in class eus.ixa.ixa.pipe.nerc.eval.Evaluate: Evaluate and print the precision, recall and F measure per named entity class.
devSetException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
Dictionaries - Class in eus.ixa.ixa.pipe.nerc.dict: Class to load a directory containing dictionaries into a list of Dictionaries.
Dictionaries(String) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.Dictionaries: Construct the dictionaries from the input directory path.
DictionariesNameFinder - Class in eus.ixa.ixa.pipe.nerc: Named Entity Recognition module based on Dictionaries objects This class provides the following functionalities: string matching against of a string (typically tokens) against a Dictionary containing names.
DictionariesNameFinder(Dictionaries) - Constructor for class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Construct a DictionaryNameFinder using one dictionary and one named entity class.
DictionariesNameFinder(Dictionaries, NameFactory) - Constructor for class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Construct a DictionariesNameFinder with a dictionary, a type and a name factory.
Dictionary - Class in eus.ixa.ixa.pipe.nerc.dict: Dictionary class which creates a HashMap String, String from a tab separated file name\tclass\t.
Dictionary(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.Dictionary
Dictionary.DictionarySerializer - Class in eus.ixa.ixa.pipe.nerc.dict
dictionaryException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
DictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Checks if a named entity is in a gazetteer.
DictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.DictionaryFeatureGenerator
dictionaryFeaturesException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
DictionarySerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.Dictionary.DictionarySerializer
DOCSTART - Static variable in class eus.ixa.ixa.pipe.nerc.formats.CoNLL03Format: The doc mark present in CoNLL 2003 datasets.
dotInsideI - Static variable in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster: Turkish capital letter I with dot.

E

eus.ixa.ixa.pipe.nerc - package eus.ixa.ixa.pipe.nerc: Package containing common code for tagging Named Entities.
eus.ixa.ixa.pipe.nerc.dict - package eus.ixa.ixa.pipe.nerc.dict: Package containing the dictionaries for Named Entities.
eus.ixa.ixa.pipe.nerc.eval - package eus.ixa.ixa.pipe.nerc.eval: Package containing common code for evaluation of ixa-pipe-nerc.
eus.ixa.ixa.pipe.nerc.features - package eus.ixa.ixa.pipe.nerc.features
eus.ixa.ixa.pipe.nerc.formats - package eus.ixa.ixa.pipe.nerc.formats: Classes to directly train NERC models from a variety of corpus formats.
eus.ixa.ixa.pipe.nerc.lexer - package eus.ixa.ixa.pipe.nerc.lexer: Package containing the Named Entity lexers.
eus.ixa.ixa.pipe.nerc.train - package eus.ixa.ixa.pipe.nerc.train: Package containing the Named Entity Trainer classes.
eval() - Method in class eus.ixa.ixa.pipe.nerc.CLI: Main evaluation entry point.
evalError() - Method in class eus.ixa.ixa.pipe.nerc.eval.Evaluate: Evaluate and print every error.
Evaluate - Class in eus.ixa.ixa.pipe.nerc.eval: Evaluation class mostly using TokenNameFinderEvaluator.
Evaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.nerc.eval.Evaluate: Construct an evaluator.
evaluate() - Method in class eus.ixa.ixa.pipe.nerc.eval.Evaluate: Evaluate and print precision, recall and F measure.
exactStringFinder(String, String) - Static method in class eus.ixa.ixa.pipe.nerc.StringUtils: Finds a pattern (typically a named entity string) in a sentence string.
exactTokenFinder(String, String[]) - Static method in class eus.ixa.ixa.pipe.nerc.StringUtils: Finds a pattern (typically a named entity string) in a tokenized sentence.
exactTokenFinderIgnoreCase(String, String[]) - Static method in class eus.ixa.ixa.pipe.nerc.StringUtils: Finds a pattern (typically a named entity string) in a tokenized sentence.
extractOte(InputStream, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.CLI: Main method to do Opinion Target Extraction (OTE).

F

FivegramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Adds fivegram features based on tokens and token class using TokenClassFeatureGenerator.
FivegramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.FivegramClassFeatureGenerator
FixedTrainer - Class in eus.ixa.ixa.pipe.nerc.train: Training sequence labeler based on Apache OpenNLP Machine Learning API.
FixedTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.nerc.train.FixedTrainer: Construct a trainer.
Flags - Class in eus.ixa.ixa.pipe.nerc.train
FourgramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Adds fourgram features based on tokens and token class using TokenClassFeatureGenerator.
FourgramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.FourgramClassFeatureGenerator

G

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.BrownCluster
getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster
getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary
getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.LemmaResource
getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource
getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.POSModelResource
getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownBigramFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClassFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTrigramFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.DictionaryFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.MFSFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.MorphoFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.SuperSenseFeatureGenerator
getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.nerc.features.Word2VecClusterFeatureGenerator
getBeamSize() - Method in class eus.ixa.ixa.pipe.nerc.eval.CrossValidator
getBeamSize() - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer
getBeamsize(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getBigramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getBilouDictionaryMatch(String[]) - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary: Performs gazetteer match in a bilou encoding.
getBioDictionaryMatch(String[]) - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary: Performs gazetteer match in a bio encoding.
getBrownFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getCharNgramFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getCharNgramFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getClarkFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getClearEvaluationFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getClearTrainingFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getClusterLexiconFiles(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags: Get a parameter in trainParams.prop file consisting of a list of clustering lexicons separated by comma "," and return a list of files, one for each lexicon.
getCorpusFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getDataSet(String, TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getDict() - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary: Get the Map String, String dictionary.
getDictionaries() - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionaries: Get the list of dictionaries as HashMaps.
getDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getDictionaryResource(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.InputOutputUtils: Get an input stream from a resource name.
getDictNames() - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionaries: Get the dictionary names.
getFilesInDir(File) - Static method in class eus.ixa.ixa.pipe.nerc.StringUtils: Recursively get every file in a directory and add them to a list.
getFirstSenseBilou(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Extract most frequent sense baseline from WordNet data, using Ciaramita and Altun's (2006) approach for bilou encoding.
getFirstSenseBio(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Extract most frequent sense baseline from WordNet data, using Ciaramita and Altun's (2006) approach for a bio encoding.
getFivegramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getFolds(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getFourgramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getIgnoreCaseDictionaries() - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionaries: Get the lower case dictionaries.
getLanguage() - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Get the language.
getLanguage(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getLeftWindow() - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Get the left window feature length.
getMap() - Method in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster
getMap() - Method in class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster
getMaxCharNgram() - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Get the maximum character ngram.
getMaxTokenCount() - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary: Get the key,value size of the dictionary.
getMFS(TreeMultimap<Integer, String>) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Get the MFS from a lemma#posClass entry, e.g., house#n.
getMFSFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getMFSFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getMFSRanking(String, Integer) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Get a rank of senses ordered by MFS.
getMFSResources(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getMinCharNgram() - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Get the minimum character ngram.
getModel(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getMorphoFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getMorphoFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags: Get the morphological features configuration.
getMorphoResources(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getNameClassifierFactory() - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Get the features which are implemented in each of the trainers extending this class.
getNames(String[]) - Method in class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Dictionaries based Named Entity Detection and Classification.
getNames(String[]) - Method in interface eus.ixa.ixa.pipe.nerc.NameFinder: Generates Name objects for the given sequence, typically a sentence.
getNames(String[]) - Method in class eus.ixa.ixa.pipe.nerc.NumericNameFinder
getNames(String[]) - Method in class eus.ixa.ixa.pipe.nerc.StatisticalNameFinder: Method to produce a list of the Name objects classified by the probabilistic model.
getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Creates a list of Name objects from spans and tokens.
getNamesFromSpans(Span[], String[]) - Method in interface eus.ixa.ixa.pipe.nerc.NameFinder: Create a list of Name objects from spans and tokens.
getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.NumericNameFinder
getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.StatisticalNameFinder: Creates a list of Name objects from spans and tokens.
getNameStream(String, String, String) - Static method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Getting the stream with the right corpus format.
getNextToken() - Method in class eus.ixa.ixa.pipe.nerc.lexer.NumericNameLexer: Get the next token provided by yylex().
getNgramRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Get the range of the character ngram of current token.
getNumericNames() - Method in class eus.ixa.ixa.pipe.nerc.lexer.NumericNameLexer: Returns found expressions as a List of names.
getOrderedMap(String) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Get the ordered Map of most frequent senses for a lemma#pos entry.
getOrderedSenses(List<String>, TreeMultimap<Integer, String>) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Look-up lemma#pos string as key in dictionary.
getOutcomePriorFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getOutputFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getPreffixFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getPrefixes(String) - Static method in class eus.ixa.ixa.pipe.nerc.features.Prefix34FeatureGenerator
getPreviousMapFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getRightWindow() - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Get the right window feature length.
getSentenceFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.nerc.eval.CrossValidator: Get the Sequence codec.
getSequenceCodec() - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Get the Sequence codec.
getSequenceCodec(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getSpan() - Method in class eus.ixa.ixa.pipe.nerc.Name: Return the Span (or null if none).
getStatisticalNameFinder() - Method in class eus.ixa.ixa.pipe.nerc.Annotate: Get the statistical namefinder.
getStringFromSpan(Span, String[]) - Static method in class eus.ixa.ixa.pipe.nerc.StringUtils: It takes a NE span indexes and the tokens in a sentence and produces the string to which the NE span corresponds to.
getStringFromTokens(String[]) - Static method in class eus.ixa.ixa.pipe.nerc.StringUtils: Gets the String joined by a space of an array of tokens.
getSuffixes(String) - Static method in class eus.ixa.ixa.pipe.nerc.features.SuffixFeatureGenerator
getSuffixFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getSuperSenseFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getSuperSenseResources(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getTokenClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getTokenFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getTrigramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getType() - Method in class eus.ixa.ixa.pipe.nerc.Name: Return the type of the Name.
getWindow(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getWord2VecClusterFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
getWordClass(String) - Method in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
getWordClasses(String, BrownCluster) - Static method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClasses: It provides a list containing the pathLengths for a token if found in the BrownCluster Map token,BrownClass.
getWordShapeSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags

H

hasNextToken() - Method in class eus.ixa.ixa.pipe.nerc.lexer.NumericNameLexer: Check if the next token provided by yylex() is null.

I

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownBigramFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClassFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTrigramFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.CharacterNgramFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.DictionaryFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.MFSFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.MorphoFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.Prev2MapFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapTokenFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.SentenceFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.SuperSenseFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.Word2VecClusterFeatureGenerator
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator
InputOutputUtils - Class in eus.ixa.ixa.pipe.nerc.train: Utility functions to read and save ObjectStreams.
isBigramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isBrownFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isCharNgramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isClarkFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isFivegramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isFourgramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isMFSFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags: Check if mfs features are active.
isMorphoFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags: Check if morphological features are active.
isOutcomePriorFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isPrefixFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isPreviousMapFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isSentenceFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isSuffixFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags: Check if supersense tagger features are active.
isTokenClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isTokenFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isTrigramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isWord2VecClusterFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
isWordShapeSuperSenseFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags

L

langException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
LemmaResource - Class in eus.ixa.ixa.pipe.nerc.dict
LemmaResource(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.LemmaResource: Build the Lemma Dictionary.
LemmaResource.LemmaResourceSerializer - Class in eus.ixa.ixa.pipe.nerc.dict
LemmaResourceSerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.LemmaResource.LemmaResourceSerializer
loadResource(String, Map<String, ArtifactSerializer>, String, byte[], Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.nerc.train.FixedTrainer: Load a resource by resourceId.
loadResources(TrainingParameters, byte[]) - Static method in class eus.ixa.ixa.pipe.nerc.train.FixedTrainer: Load the external resources such as gazetters and clustering lexicons.
loadTrainingParameters(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.InputOutputUtils: Load the parameters in the TrainingParameters file.
lookup(String) - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary: Look up a string in the dictionary.
lookUpLemma(String, String) - Method in class eus.ixa.ixa.pipe.nerc.dict.LemmaResource: Look-up lemma in dictionary.
lookUpLemmaArray(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.dict.LemmaResource: Look-up lemmas in dictionary.
lookupToken(String) - Method in class eus.ixa.ixa.pipe.nerc.dict.BrownCluster: Check if a token is in the Brown paths, token map.
lookupToken(String) - Method in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster
lookupToken(String) - Method in class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster

M

main(String[]) - Static method in class eus.ixa.ixa.pipe.nerc.CLI: Main entry point of ixa-pipe-nerc.
MFSFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Generate pos tag, pos tag class, lemma and most frequent sense as feature of the current token.
MFSFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.MFSFeatureGenerator
MFSResource - Class in eus.ixa.ixa.pipe.nerc.dict: Reads wordnet lexicons formated as house#n\t1092#noun.artifact to search for most frequent senses.
MFSResource(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Build the MFS Dictionary.
MFSResource.MFSResourceSerializer - Class in eus.ixa.ixa.pipe.nerc.dict
MFSResourceSerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.MFSResource.MFSResourceSerializer
modelException() - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
MorphoFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Generate pos tag, pos tag class or lemma as feature of current token.
MorphoFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.MorphoFeatureGenerator

N

Name - Class in eus.ixa.ixa.pipe.nerc: A Name object contains a single String, a Span, a startOffset and the length of the String.
Name() - Constructor for class eus.ixa.ixa.pipe.nerc.Name: Create a new Name with a null content (i.e., str).
Name(String, String) - Constructor for class eus.ixa.ixa.pipe.nerc.Name: Create a new Name with the given string.
Name(String, String, Span) - Constructor for class eus.ixa.ixa.pipe.nerc.Name: Create a new Name with the given string and Span.
Name(String, String, int, int) - Constructor for class eus.ixa.ixa.pipe.nerc.Name: Creates a new Name with the given content.
Name(String, String, Span, int, int) - Constructor for class eus.ixa.ixa.pipe.nerc.Name: Creates a new Name with the given content.
NameFactory - Class in eus.ixa.ixa.pipe.nerc: This class provides the functionality to create Name objects.
NameFactory() - Constructor for class eus.ixa.ixa.pipe.nerc.NameFactory
NameFinder - Interface in eus.ixa.ixa.pipe.nerc
NameFinderServer - Class in eus.ixa.ixa.pipe.nerc
NameFinderServer(Properties) - Constructor for class eus.ixa.ixa.pipe.nerc.NameFinderServer: Construct a NameFinder server.
nameLength() - Method in class eus.ixa.ixa.pipe.nerc.Name
nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Detects Named Entities in a Dictionaries by NE type ignoring case.
nercToSpans(String[]) - Method in interface eus.ixa.ixa.pipe.nerc.NameFinder: This method receives as input an array of tokenized text and returns the Spans of the detected and classified Named Entities.
nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.nerc.NumericNameFinder
nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.nerc.StatisticalNameFinder: This method receives as input an array of tokenized text and calls the NameFinderME.find(tokens) to recognize and classify Named Entities.
nercToSpansExact(String[]) - Method in class eus.ixa.ixa.pipe.nerc.DictionariesNameFinder: Detects Named Entities in a Dictionaries by NE type This method is case sensitive.
NEXT_PREFIX - Static variable in class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator
normalize(String) - Static method in class eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator: Normalize upper case, lower case, digits and duplicate characters.
normalizeLexiconName(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.InputOutputUtils: Remove punctuation.
NumericNameFinder - Class in eus.ixa.ixa.pipe.nerc
NumericNameFinder(BufferedReader, NameFactory) - Constructor for class eus.ixa.ixa.pipe.nerc.NumericNameFinder
NumericNameLexer - Class in eus.ixa.ixa.pipe.nerc.lexer: NumericNameLexer is based on the NumericLexer class.
NumericNameLexer(BufferedReader, NameFactory) - Constructor for class eus.ixa.ixa.pipe.nerc.lexer.NumericNameLexer: Construct a new NumericNameLexer.

O

OpinionTargetExtractor - Class in eus.ixa.ixa.pipe.nerc: Annotation class for Opinion Target Extraction (OTE).
OpinionTargetExtractor(Properties) - Constructor for class eus.ixa.ixa.pipe.nerc.OpinionTargetExtractor
OUTCOME_PRIOR_FEATURE - Static variable in class eus.ixa.ixa.pipe.nerc.features.OutcomePriorFeatureGenerator
OutcomePriorFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: The definition feature maps the underlying distribution of outcomes.
OutcomePriorFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.OutcomePriorFeatureGenerator

P

parseCLI(String[]) - Method in class eus.ixa.ixa.pipe.nerc.CLI: Parse the command interface parameters with the argParser.
pathLengths - Static variable in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClasses
POSModelResource - Class in eus.ixa.ixa.pipe.nerc.dict: This class loads the pos tagger model required for the POS FeatureGenerators.
POSModelResource(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.POSModelResource: Construct the POSModelResource from the inputstream.
POSModelResource.POSModelResourceSerializer - Class in eus.ixa.ixa.pipe.nerc.dict
POSModelResourceSerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.POSModelResource.POSModelResourceSerializer
posTag(String[]) - Method in class eus.ixa.ixa.pipe.nerc.dict.POSModelResource: POS tag the current sentence.
postProcessDuplicatedSpans(List<Span>, Span[]) - Static method in class eus.ixa.ixa.pipe.nerc.SpanUtils: Removes spans from the preList if the span is contained in the postList.
Prefix34FeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
Prefix34FeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.Prefix34FeatureGenerator
Prev2MapFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
Prev2MapFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.Prev2MapFeatureGenerator
PREV_PREFIX - Static variable in class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator
PreviousMapFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
PreviousMapFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.PreviousMapFeatureGenerator
PreviousMapTokenFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
PreviousMapTokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.PreviousMapTokenFeatureGenerator
printList(List<String>) - Static method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClasses
processMFSFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
processMorphoFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags
processSuperSenseFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.Flags

R

read() - Method in class eus.ixa.ixa.pipe.nerc.formats.CoNLL02Format
read() - Method in class eus.ixa.ixa.pipe.nerc.formats.CoNLL03Format
readFileIntoMarkableStreamFactory(String) - Static method in class eus.ixa.ixa.pipe.nerc.train.InputOutputUtils: Read the file into an ObjectStream.
reset() - Method in class eus.ixa.ixa.pipe.nerc.formats.CoNLL02Format
reset() - Method in class eus.ixa.ixa.pipe.nerc.formats.CoNLL03Format

S

SentenceFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
SentenceFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.SentenceFeatureGenerator
serialize(BrownCluster, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.BrownCluster.BrownClusterSerializer
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.BrownCluster
serialize(ClarkCluster, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster.ClarkClusterSerializer
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.ClarkCluster
serialize(Dictionary, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary.DictionarySerializer
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.Dictionary
serialize(LemmaResource, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.LemmaResource.LemmaResourceSerializer
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.LemmaResource
serialize(MFSResource, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource.MFSResourceSerializer
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.MFSResource: Serialize the lexicon in the original format.
serialize(POSModelResource, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.POSModelResource.POSModelResourceSerializer
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.POSModelResource: Serialize the POS model into the NERC model.
serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster
serialize(Word2VecCluster, OutputStream) - Method in class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster.Word2VecClusterSerializer
server() - Method in class eus.ixa.ixa.pipe.nerc.CLI: Set up the TCP socket for annotation.
setFromString(String) - Method in class eus.ixa.ixa.pipe.nerc.Name: Set the label from a String.
setLanguage(String) - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Set the language.
setNameClassifierFactory(TokenNameFinderFactory) - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer
setNameLength(int) - Method in class eus.ixa.ixa.pipe.nerc.Name
setNgramRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Set the character ngrams minimum and maximum values.
setSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer: Set the sequence codec.
setSpan(Span) - Method in class eus.ixa.ixa.pipe.nerc.Name: Set the Span for the Name.
setStartOffset(int) - Method in class eus.ixa.ixa.pipe.nerc.Name
setType(String) - Method in class eus.ixa.ixa.pipe.nerc.Name: Set type of the Name.
setValue(String) - Method in class eus.ixa.ixa.pipe.nerc.Name: Set the value for the label.
setWindow(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.nerc.features.XMLFeatureDescriptor: Set the window length from the training parameters file.
SpanUtils - Class in eus.ixa.ixa.pipe.nerc
SpanUtils() - Constructor for class eus.ixa.ixa.pipe.nerc.SpanUtils
startOffset() - Method in class eus.ixa.ixa.pipe.nerc.Name
StatisticalNameFinder - Class in eus.ixa.ixa.pipe.nerc: Statistical Sequence Labeling based on Apache OpenNLP Machine Learning API.
StatisticalNameFinder(Properties) - Constructor for class eus.ixa.ixa.pipe.nerc.StatisticalNameFinder: Construct a probabilistic name finder specifying lang, model and beamsize.
StatisticalNameFinder(Properties, NameFactory) - Constructor for class eus.ixa.ixa.pipe.nerc.StatisticalNameFinder: Construct a StatisticalNameFinder specifying the language, a name factory, the model, the features and the beam size for decoding.
StringUtils - Class in eus.ixa.ixa.pipe.nerc: Pattern matching and other utility string functions.
SuffixFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
SuffixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.SuffixFeatureGenerator
SuperSenseFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Generates Ciaramita and Altun (2006) features for super sense tagging.
SuperSenseFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.SuperSenseFeatureGenerator

T

TargetExtractorServer - Class in eus.ixa.ixa.pipe.nerc
TargetExtractorServer(Properties) - Constructor for class eus.ixa.ixa.pipe.nerc.TargetExtractorServer: Construct an OTE server.
TokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Generates a class name for the specified token.
TokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.TokenClassFeatureGenerator
TokenClassFeatureGenerator(boolean) - Constructor for class eus.ixa.ixa.pipe.nerc.features.TokenClassFeatureGenerator
TokenFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Generates a feature which contains the token itself.
TokenFeatureGenerator(boolean) - Constructor for class eus.ixa.ixa.pipe.nerc.features.TokenFeatureGenerator
TokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.TokenFeatureGenerator
tokenShapeFeature(String) - Static method in class eus.ixa.ixa.pipe.nerc.features.TokenClassFeatureGenerator
toString() - Method in class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator
toString() - Method in class eus.ixa.ixa.pipe.nerc.Name
train() - Method in class eus.ixa.ixa.pipe.nerc.CLI: Main access to the train functionalities.
train(TrainingParameters) - Method in class eus.ixa.ixa.pipe.nerc.train.AbstractTrainer
train(TrainingParameters) - Method in interface eus.ixa.ixa.pipe.nerc.train.Trainer: Generate TokenNameFinderModel models.
Trainer - Interface in eus.ixa.ixa.pipe.nerc.train: This interface defines the feature creation, the training method and the evaluation of the trained model.
TrigramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Adds trigram features based on tokens and token class using TokenClassFeatureGenerator.
TrigramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.TrigramClassFeatureGenerator

U

unknownClarkClass - Static variable in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownBigramFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenClassFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTokenFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.BrownTrigramFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.CharacterNgramFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.ClarkFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.DictionaryFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.MFSFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.MorphoFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.Prev2MapFeatureGenerator: Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapFeatureGenerator: Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.PreviousMapTokenFeatureGenerator: Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.SentenceFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.SuperSenseFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.Word2VecClusterFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator

V

value() - Method in class eus.ixa.ixa.pipe.nerc.Name: Return the word value of the label (or null if none).

W

WindowFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Generates previous and next features for a given AdaptiveFeatureGenerator.
WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Constructor for class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator: Initializes the current instance with the given parameters.
WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator: Initializes the current instance with the given parameters.
WindowFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator: Initializes the current instance.
WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.nerc.features.WindowFeatureGenerator: Initializes the current instance with the given parameters.
Word2VecCluster - Class in eus.ixa.ixa.pipe.nerc.dict: Class to load a Word2Vec cluster document: word\\s+word_class http://code.google.com/p/word2vec/ The file containing the clustering lexicon has to be passed as the argument of the Word2VecCluster property.
Word2VecCluster(InputStream) - Constructor for class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster
Word2VecCluster.Word2VecClusterSerializer - Class in eus.ixa.ixa.pipe.nerc.dict
Word2VecClusterFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features
Word2VecClusterFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.Word2VecClusterFeatureGenerator
Word2VecClusterSerializer() - Constructor for class eus.ixa.ixa.pipe.nerc.dict.Word2VecCluster.Word2VecClusterSerializer
WordShapeSuperSenseFeatureGenerator - Class in eus.ixa.ixa.pipe.nerc.features: Ciaramita and Altun (2006) word shape features.
WordShapeSuperSenseFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator

X

XMLFeatureDescriptor - Class in eus.ixa.ixa.pipe.nerc.features: Class to automatically generate the feature descriptor from a trainParams.properties file.

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