Index (JCoRe JNET AE 2.6.1 API)

A B C D E F G H I J M N O P R S T U W
All Classes All Packages

A

ABBREV_PATTERN - Static variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
abbrevPattern - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
acroMatch(JCas, Set<String>) - Method in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation
add(Unit) - Method in class de.julielab.jcore.ae.jnet.tagger.Sentence
add(Unit) - Method in class de.julielab.jnet.tagger.Sentence

B

begin - Variable in class de.julielab.jcore.ae.jnet.tagger.Unit
begin - Variable in class de.julielab.jnet.tagger.Unit

C

confidenceThresholdForConsistencyPreservation - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
consistencyPreservation - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
ConsistencyPreservation - Class in de.julielab.jcore.ae.jnet.uima
ConsistencyPreservation(String) - Constructor for class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation: builds the modes used during consistency preservation from a string which is a coma-separated list of modes.
contains(String) - Method in class de.julielab.jcore.ae.jnet.tagger.Tags
contains(String) - Method in class de.julielab.jnet.tagger.Tags
contains(String, String) - Method in class de.julielab.jcore.ae.jnet.uima.NegativeList: checks whether an entity mention is contained in the negative list.
Conversion - Class in de.julielab.jcore.ae.jnet.utils
Conversion() - Constructor for class de.julielab.jcore.ae.jnet.utils.Conversion
convertIOB(ArrayList<?>) - Static method in class de.julielab.jcore.ae.jnet.utils.Conversion: converts PipedFormat into IOB format (POS tags are omitted)
createUnitSentence(List<Token>, JCas, ArrayList<HashMap<String, String>>, JCoReCoverIndex<Abbreviation>, JCoReCoverIndex<Token>) - Method in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator: Takes all info about meta data and generates the corresponding unit sequence represented by a Sentence object.

D

de.julielab.jcore.ae.jnet.cli - package de.julielab.jcore.ae.jnet.cli
de.julielab.jcore.ae.jnet.tagger - package de.julielab.jcore.ae.jnet.tagger
de.julielab.jcore.ae.jnet.uima - package de.julielab.jcore.ae.jnet.uima
de.julielab.jcore.ae.jnet.utils - package de.julielab.jcore.ae.jnet.utils
de.julielab.jnet.tagger - package de.julielab.jnet.tagger

E

end - Variable in class de.julielab.jcore.ae.jnet.tagger.Unit
end - Variable in class de.julielab.jnet.tagger.Unit
EntityAnnotator - Class in de.julielab.jcore.ae.jnet.uima
EntityAnnotator() - Constructor for class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
entityMentionTypes - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
evaluate(ArrayList<?>, ArrayList<?>) - Static method in class de.julielab.jcore.ae.jnet.utils.IOBEvaluation: calculates precision, recall and f-measure, the first argument is takens as the goldstandard, the second one is to be evaluated.
evaluate(ArrayList<?>, ArrayList<?>) - Static method in class de.julielab.jcore.ae.jnet.utils.IOEvaluation
evalXVal(List<String>, File, int, File, File, File, int, boolean) - Static method in class de.julielab.jcore.ae.jnet.cli.JNETApplication: performs a 'n'-fold-cross-validation on a list of sentence strings in piped format, like "this|o is|o a|o NE|i" The pred files lists token\tprediction\tgold\tPOS
expandAbbr - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator

F

featureActive(Properties, String) - Method in class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration: check whether a boolean feature exists and is set to "true"
featureActive(Properties, String) - Method in class de.julielab.jnet.tagger.FeatureConfiguration: check whether a boolean feature exists and is set to "true"
FeatureConfigExchanger - Class in de.julielab.jcore.ae.jnet.utils
FeatureConfigExchanger() - Constructor for class de.julielab.jcore.ae.jnet.utils.FeatureConfigExchanger
FeatureConfiguration - Class in de.julielab.jcore.ae.jnet.tagger
FeatureConfiguration - Class in de.julielab.jnet.tagger
FeatureConfiguration() - Constructor for class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration
FeatureConfiguration() - Constructor for class de.julielab.jnet.tagger.FeatureConfiguration
FeatureSubsetModel - Class in de.julielab.jcore.ae.jnet.tagger
FeatureSubsetModel - Class in de.julielab.jnet.tagger
FormatConverter - Class in de.julielab.jcore.ae.jnet.utils
FormatConverter() - Constructor for class de.julielab.jcore.ae.jnet.utils.FormatConverter

G

generateTokenNGrams(String[], int, int) - Method in class de.julielab.jcore.ae.jnet.tagger.NGramGenerator: generates ngrams of size ngramSize
generateTokenNGrams(String[], int, int) - Method in class de.julielab.jnet.tagger.NGramGenerator: generates ngrams of size ngramSize
generateTokenNGrams(String[], int, int[]) - Method in class de.julielab.jcore.ae.jnet.tagger.NGramGenerator: generates ngrams of all sizes specified in ngramSizes
generateTokenNGrams(String[], int, int[]) - Method in class de.julielab.jnet.tagger.NGramGenerator: generates ngrams of all sizes specified in ngramSizes
get(int) - Method in class de.julielab.jcore.ae.jnet.tagger.Sentence
get(int) - Method in class de.julielab.jnet.tagger.Sentence
getAlphabet() - Method in class de.julielab.jcore.ae.jnet.tagger.Tags: gets you the LabelAlphabet representation of the tags.
getAlphabet() - Method in class de.julielab.jnet.tagger.Tags: gets you the LabelAlphabet representation of the tags.
getAnnotation() - Method in class de.julielab.jcore.ae.jnet.uima.Interval
getAverage(double[]) - Static method in class de.julielab.jcore.ae.jnet.cli.JNETApplication
getBegin() - Method in class de.julielab.jcore.ae.jnet.uima.Interval
getChunksIO(ArrayList<String>) - Static method in class de.julielab.jcore.ae.jnet.utils.IOEvaluation
getConfidence() - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
getConfidence() - Method in class de.julielab.jnet.tagger.Unit
getEnd() - Method in class de.julielab.jcore.ae.jnet.uima.Interval
getFeatureConfig() - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger
getFeatureConfig() - Method in class de.julielab.jnet.tagger.NETagger
getIntArray(Properties, String) - Method in class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration
getIntArray(Properties, String) - Method in class de.julielab.jnet.tagger.FeatureConfiguration
getLabel() - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
getLabel() - Method in class de.julielab.jnet.tagger.Unit
getLexiconKeys(Properties) - Method in class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration
getLexiconKeys(Properties) - Method in class de.julielab.jnet.tagger.FeatureConfiguration
getMetaInfo(String) - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
getMetaInfo(String) - Method in class de.julielab.jnet.tagger.Unit
getModel() - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: return the model
getModel() - Method in class de.julielab.jnet.tagger.NETagger: return the model
getNumber_Iterations() - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger
getNumber_Iterations() - Method in class de.julielab.jnet.tagger.NETagger
getRep() - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
getRep() - Method in class de.julielab.jnet.tagger.Unit
getStandardDeviation(double[], double) - Static method in class de.julielab.jcore.ae.jnet.cli.JNETApplication
getStringArray(Properties, String) - Method in class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration: Gets the value of a property, splitting it into Strings
getStringArray(Properties, String) - Method in class de.julielab.jnet.tagger.FeatureConfiguration: Gets the value of a property, splitting it into Strings
getTags() - Method in class de.julielab.jcore.ae.jnet.tagger.Tags: gets you the all the labels as a string array.
getTags() - Method in class de.julielab.jnet.tagger.Tags: gets you the all the labels as a string array.
getTrueMetas(Properties) - Method in class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration: The Properties Object featureConfig contains key-value pairs.
getTrueMetas(Properties) - Method in class de.julielab.jnet.tagger.FeatureConfiguration: The Properties Object featureConfig contains key-value pairs.
getType() - Method in class de.julielab.jcore.ae.jnet.utils.IOBEvaluation
getType() - Method in class de.julielab.jcore.ae.jnet.utils.IOEvaluation
getUnits() - Method in class de.julielab.jcore.ae.jnet.tagger.Sentence
getUnits() - Method in class de.julielab.jnet.tagger.Sentence

H

hasNext() - Method in class de.julielab.jcore.ae.jnet.tagger.SentencePipeIterator
hasNext() - Method in class de.julielab.jnet.tagger.SentencePipeIterator
hasSameOffset(Annotation, Annotation) - Static method in class de.julielab.jcore.ae.jnet.uima.UIMAUtils: check whether two annotation have exactly the same offset

I

ignoreLabel(JCas, int, int, JCoReCoverIndex<Abbreviation>) - Method in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator: tests whether annotation should be ignored as this label is on a not introduced abbreviation
initialize(UimaContext) - Method in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator: Initialisiation of UIMA-JNET.
Interval - Class in de.julielab.jcore.ae.jnet.uima
Interval() - Constructor for class de.julielab.jcore.ae.jnet.uima.Interval
Interval(int, int) - Constructor for class de.julielab.jcore.ae.jnet.uima.Interval
Interval(int, int, String) - Constructor for class de.julielab.jcore.ae.jnet.uima.Interval
IOBCheckerCleaner - Class in de.julielab.jcore.ae.jnet.utils: checks and cleans IOB files: makes sure that there aren't multiple empty lines, several spaces are replaces by tabs, and it is checked whether every token has its label
IOBCheckerCleaner() - Constructor for class de.julielab.jcore.ae.jnet.utils.IOBCheckerCleaner
IOBEvaluation - Class in de.julielab.jcore.ae.jnet.utils
IOBEvaluation() - Constructor for class de.julielab.jcore.ae.jnet.utils.IOBEvaluation
IOEvaluation - Class in de.julielab.jcore.ae.jnet.utils
IOEvaluation() - Constructor for class de.julielab.jcore.ae.jnet.utils.IOEvaluation
is_Max_Ent() - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger
is_Max_Ent() - Method in class de.julielab.jnet.tagger.NETagger
isIn(int, int) - Method in class de.julielab.jcore.ae.jnet.uima.Interval
isIn(Interval) - Method in class de.julielab.jcore.ae.jnet.uima.Interval
isTrained() - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: returns true when model has been successfully trained.
isTrained() - Method in class de.julielab.jnet.tagger.NETagger: returns true when model has been successfully trained.

J

JNETApplication - Class in de.julielab.jcore.ae.jnet.cli: Command line application
JNETApplication() - Constructor for class de.julielab.jcore.ae.jnet.cli.JNETApplication

M

main(String[]) - Static method in class de.julielab.jcore.ae.jnet.cli.JNETApplication
main(String[]) - Static method in class de.julielab.jcore.ae.jnet.tagger.NGramGenerator
main(String[]) - Static method in class de.julielab.jcore.ae.jnet.utils.FeatureConfigExchanger
main(String[]) - Static method in class de.julielab.jcore.ae.jnet.utils.FormatConverter
main(String[]) - Static method in class de.julielab.jcore.ae.jnet.utils.IOBCheckerCleaner
main(String[]) - Static method in class de.julielab.jnet.tagger.NGramGenerator
makeDataSplit(double, int, ArrayList<String>, ArrayList<String>, ArrayList<String>, ArrayList<String>) - Static method in class de.julielab.jcore.ae.jnet.utils.FormatConverter: split data in piped format into pool data (corpus) and gold data and a inital trainingset
makeDataSplit(double, ArrayList<String>, ArrayList<String>, ArrayList<String>) - Static method in class de.julielab.jcore.ae.jnet.utils.FormatConverter: split data in piped format into pool data (corpus) and gold data
makePipedFormat(ArrayList<String>, ArrayList<ArrayList<String>>, TreeSet<String>) - Static method in class de.julielab.jcore.ae.jnet.utils.FormatConverter: converts a IOB and a POS file into one file in piped format
METrainerDummyPipe - Class in de.julielab.jcore.ae.jnet.tagger
METrainerDummyPipe - Class in de.julielab.jnet.tagger
METrainerDummyPipe(Alphabet, Alphabet) - Constructor for class de.julielab.jcore.ae.jnet.tagger.METrainerDummyPipe
METrainerDummyPipe(Alphabet, Alphabet) - Constructor for class de.julielab.jnet.tagger.METrainerDummyPipe
MODE_ACRO2FULL - Static variable in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation
MODE_FULL2ACRO - Static variable in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation
MODE_STRING - Static variable in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation: String matches will be expanded to token boundaries
MODE_STRING_TOKEN_BOUNDARIES - Static variable in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation: If set, only create new annotations if the matched string begins and ends exactly with token borders.

N

negativeList - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
NegativeList - Class in de.julielab.jcore.ae.jnet.uima
NegativeList(File) - Constructor for class de.julielab.jcore.ae.jnet.uima.NegativeList
NegativeList(InputStream) - Constructor for class de.julielab.jcore.ae.jnet.uima.NegativeList
NETagger - Class in de.julielab.jcore.ae.jnet.tagger: general class which does all the ML stuff TODO confidence estimation also for IOB (not only IO)
NETagger - Class in de.julielab.jnet.tagger: general class which does all the ML stuff TODO confidence estimation also for IOB (not only IO)
NETagger() - Constructor for class de.julielab.jcore.ae.jnet.tagger.NETagger: default constructor
NETagger() - Constructor for class de.julielab.jnet.tagger.NETagger: default constructor
NETagger(File) - Constructor for class de.julielab.jcore.ae.jnet.tagger.NETagger: constructor for feature config file
NETagger(File) - Constructor for class de.julielab.jnet.tagger.NETagger: constructor for feature config file
next() - Method in class de.julielab.jcore.ae.jnet.tagger.SentencePipeIterator
next() - Method in class de.julielab.jnet.tagger.SentencePipeIterator
NGramGenerator - Class in de.julielab.jcore.ae.jnet.tagger
NGramGenerator - Class in de.julielab.jnet.tagger
NGramGenerator() - Constructor for class de.julielab.jcore.ae.jnet.tagger.NGramGenerator
NGramGenerator() - Constructor for class de.julielab.jnet.tagger.NGramGenerator
nrTags() - Method in class de.julielab.jcore.ae.jnet.tagger.Tags
nrTags() - Method in class de.julielab.jnet.tagger.Tags

O

offsetConjFromConfig(String) - Method in class de.julielab.jcore.ae.jnet.tagger.FeatureConfiguration: extracts the offset conjunction information (feature creation horizon) from a String of the form (-1) (0) (1), (-1) (0) (1,2) or (-1) (0) (1 2)
offsetConjFromConfig(String) - Method in class de.julielab.jnet.tagger.FeatureConfiguration: extracts the offset conjunction information (feature creation horizon) from a String of the form (-1) (0) (1), (-1) (0) (1,2) or (-1) (0) (1 2)

P

pipe(Instance) - Method in class de.julielab.jcore.ae.jnet.tagger.METrainerDummyPipe
pipe(Instance) - Method in class de.julielab.jcore.ae.jnet.tagger.TokenNGramPipe
pipe(Instance) - Method in class de.julielab.jnet.tagger.METrainerDummyPipe
pipe(Instance) - Method in class de.julielab.jnet.tagger.TokenNGramPipe
PPDtoUnits(String) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: takes a sentence in piped format and returns the corresponding unit sentence as a Sentence object
PPDtoUnits(String) - Method in class de.julielab.jnet.tagger.NETagger: takes a sentence in piped format and returns the corresponding unit sentence as a Sentence object
predict(Sentence, boolean) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: predicts the entity labels by means of a model.
predict(Sentence, boolean) - Method in class de.julielab.jnet.tagger.NETagger: predicts the entity labels by means of a model.
predictIOB(ArrayList<Sentence>, boolean) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: predict the entity labels by means of a previously learned model.
predictIOB(ArrayList<Sentence>, boolean) - Method in class de.julielab.jnet.tagger.NETagger: predict the entity labels by means of a previously learned model.
printFeatureConfig(File) - Static method in class de.julielab.jcore.ae.jnet.cli.JNETApplication: prints out the feature configuration used in the model 'modelFile'
printOutputAlphabet(File) - Static method in class de.julielab.jcore.ae.jnet.cli.JNETApplication: prints out the tagset used in the model 'modelFile'
process(JCas) - Method in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator: process current CAS.

R

readFile(File) - Static method in class de.julielab.jcore.ae.jnet.utils.Utils: reads file into ArrayList.
readModel(File) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.
readModel(File) - Method in class de.julielab.jnet.tagger.NETagger: load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.
readModel(InputStream) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.
readModel(InputStream) - Method in class de.julielab.jnet.tagger.NETagger: load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.
remove() - Method in class de.julielab.jcore.ae.jnet.tagger.SentencePipeIterator
remove() - Method in class de.julielab.jnet.tagger.SentencePipeIterator
removeDuplicatedTokens(Sentence) - Method in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator: removes duplicate tokens in a unit sentence (i.e., tokens having the same offset position).

S

Sentence - Class in de.julielab.jcore.ae.jnet.tagger
Sentence - Class in de.julielab.jnet.tagger
Sentence() - Constructor for class de.julielab.jcore.ae.jnet.tagger.Sentence
Sentence() - Constructor for class de.julielab.jnet.tagger.Sentence
Sentence(ArrayList<Unit>) - Constructor for class de.julielab.jcore.ae.jnet.tagger.Sentence
Sentence(ArrayList<Unit>) - Constructor for class de.julielab.jnet.tagger.Sentence
SentencePipeIterator - Class in de.julielab.jcore.ae.jnet.tagger
SentencePipeIterator - Class in de.julielab.jnet.tagger
SentencePipeIterator(ArrayList<Sentence>) - Constructor for class de.julielab.jcore.ae.jnet.tagger.SentencePipeIterator
SentencePipeIterator(ArrayList<Sentence>) - Constructor for class de.julielab.jnet.tagger.SentencePipeIterator
set_Max_Ent(boolean) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger
set_Max_Ent(boolean) - Method in class de.julielab.jnet.tagger.NETagger
set_Number_Iterations(int) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger
set_Number_Iterations(int) - Method in class de.julielab.jnet.tagger.NETagger
setConfidence(double) - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
setConfidence(double) - Method in class de.julielab.jnet.tagger.Unit
setFeatureConfig(Properties) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger
setFeatureConfig(Properties) - Method in class de.julielab.jnet.tagger.NETagger
setLabel(String) - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
setLabel(String) - Method in class de.julielab.jnet.tagger.Unit
setRep(String) - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
setRep(String) - Method in class de.julielab.jnet.tagger.Unit
showSegmentConf - Variable in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator
ShuffleFileContents(File, File) - Static method in class de.julielab.jcore.ae.jnet.utils.Utils: shuffles the contents of a file on a sentence level
size() - Method in class de.julielab.jcore.ae.jnet.tagger.Sentence
size() - Method in class de.julielab.jnet.tagger.Sentence
stringMatch(JCas, TreeSet<String>, double) - Method in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation: consistency presevation based on (exact) string matching.

T

Tags - Class in de.julielab.jcore.ae.jnet.tagger
Tags - Class in de.julielab.jnet.tagger
Tags(String) - Constructor for class de.julielab.jcore.ae.jnet.tagger.Tags: the constructor.
Tags(String) - Constructor for class de.julielab.jnet.tagger.Tags: the constructor.
TokenNGramPipe - Class in de.julielab.jcore.ae.jnet.tagger
TokenNGramPipe - Class in de.julielab.jnet.tagger
TokenNGramPipe(int[]) - Constructor for class de.julielab.jcore.ae.jnet.tagger.TokenNGramPipe
TokenNGramPipe(int[]) - Constructor for class de.julielab.jnet.tagger.TokenNGramPipe
toString() - Method in class de.julielab.jcore.ae.jnet.tagger.Sentence
toString() - Method in class de.julielab.jcore.ae.jnet.tagger.Unit
toString() - Method in class de.julielab.jcore.ae.jnet.uima.ConsistencyPreservation
toString() - Method in class de.julielab.jnet.tagger.Sentence
toString() - Method in class de.julielab.jnet.tagger.Unit
train(ArrayList<Sentence>) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: this is to train a NE model (based on CRF); when trained, the model is stored internally.
train(ArrayList<Sentence>) - Method in class de.julielab.jnet.tagger.NETagger: this is to train a NE model (based on CRF); when trained, the model is stored internally.
type - Variable in class de.julielab.jcore.ae.jnet.tagger.Tags
type - Variable in class de.julielab.jnet.tagger.Tags

U

UIMAUtils - Class in de.julielab.jcore.ae.jnet.uima
UIMAUtils() - Constructor for class de.julielab.jcore.ae.jnet.uima.UIMAUtils
Unit - Class in de.julielab.jcore.ae.jnet.tagger
Unit - Class in de.julielab.jnet.tagger
Unit(int, int, String) - Constructor for class de.julielab.jcore.ae.jnet.tagger.Unit
Unit(int, int, String) - Constructor for class de.julielab.jnet.tagger.Unit
Unit(int, int, String, String) - Constructor for class de.julielab.jcore.ae.jnet.tagger.Unit
Unit(int, int, String, String) - Constructor for class de.julielab.jnet.tagger.Unit
Unit(int, int, String, String, HashMap<String, String>) - Constructor for class de.julielab.jcore.ae.jnet.tagger.Unit
Unit(int, int, String, String, HashMap<String, String>) - Constructor for class de.julielab.jnet.tagger.Unit
Utils - Class in de.julielab.jcore.ae.jnet.utils
Utils() - Constructor for class de.julielab.jcore.ae.jnet.utils.Utils

W

writeFile(File, String) - Static method in class de.julielab.jcore.ae.jnet.utils.Utils
writeFile(File, ArrayList<String>) - Static method in class de.julielab.jcore.ae.jnet.utils.Utils: writes ArrayList into file.
writeModel(String) - Method in class de.julielab.jcore.ae.jnet.tagger.NETagger: Save the model learned to disk.
writeModel(String) - Method in class de.julielab.jnet.tagger.NETagger: Save the model learned to disk.
writeToCAS(Sentence, JCas, JCoReCoverIndex<Abbreviation>) - Method in class de.julielab.jcore.ae.jnet.uima.EntityAnnotator: creates the respective uima annotations from JNET's predictions.

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