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

A

add(Unit) - Method in class de.julielab.jcore.ae.jpos.tagger.Sentence

B

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

C

convertFeatsforClassifier(Pipe, Instance) - Static method in class de.julielab.jcore.ae.jpos.pipes.FeatureGenerator

converts the sentence based instance list into a token based one This is needed for the ME-version of JET (JetMeClassifier)

convertFeatsforClassifier(Pipe, InstanceList) - Static method in class de.julielab.jcore.ae.jpos.pipes.FeatureGenerator

converts the sentence based instance list into a token based one This is needed for the ME-version of JET (JetMeClassifier)

createFeatureData(ArrayList<Sentence>, Properties) - Method in class de.julielab.jcore.ae.jpos.pipes.FeatureGenerator

createUnitSentence(ArrayList<Token>, JCas) - Method in class de.julielab.jcore.ae.jpos.postagger.POSAnnotator

Takes all info about meta data and generates the corresponding unit sequence represented by a Sentence object.

D

de.julielab.jcore.ae.jpos.main - package de.julielab.jcore.ae.jpos.main

de.julielab.jcore.ae.jpos.pipes - package de.julielab.jcore.ae.jpos.pipes

de.julielab.jcore.ae.jpos.postagger - package de.julielab.jcore.ae.jpos.postagger

de.julielab.jcore.ae.jpos.tagger - package de.julielab.jcore.ae.jpos.tagger

de.julielab.jcore.ae.jpos.utils - package de.julielab.jcore.ae.jpos.utils

E

end - Variable in class de.julielab.jcore.ae.jpos.tagger.Unit

evalXVal(File, int, File, int, boolean) - Static method in class de.julielab.jcore.ae.jpos.main.JPOSApplication

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

F

featureActive(Properties, String) - Method in class de.julielab.jcore.ae.jpos.tagger.FeatureConfiguration

check whether a boolean feature exists and is set to "true"

FeatureConfiguration - Class in de.julielab.jcore.ae.jpos.tagger

FeatureConfiguration() - Constructor for class de.julielab.jcore.ae.jpos.tagger.FeatureConfiguration

FeatureGenerator - Class in de.julielab.jcore.ae.jpos.pipes

FeatureGenerator() - Constructor for class de.julielab.jcore.ae.jpos.pipes.FeatureGenerator

G

generateTokenNGrams(String[], int, int) - Method in class de.julielab.jcore.ae.jpos.pipes.NGramGenerator

generates ngrams of size ngramSize

generateTokenNGrams(String[], int, int[]) - Method in class de.julielab.jcore.ae.jpos.pipes.NGramGenerator

generates ngrams of all sizes specified in ngramSizes

get(int) - Method in class de.julielab.jcore.ae.jpos.tagger.Sentence

getAnnotations(JCas, Annotation, Class<T>) - Static method in class de.julielab.jcore.ae.jpos.postagger.UIMAUtils

This method returns all annotations (in order) that are inside a "window" annotation of a particular kind.

getAverage(double[]) - Static method in class de.julielab.jcore.ae.jpos.main.JPOSApplication

getExactAnnotations(JCas, Annotation, Class<T>) - Static method in class de.julielab.jcore.ae.jpos.postagger.UIMAUtils

same as getAnnotations however boundaries for windowAnnotation and cls must exactly match!

getFeatureConfig() - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

getIntArray(Properties, String) - Method in class de.julielab.jcore.ae.jpos.tagger.FeatureConfiguration

getLabel() - Method in class de.julielab.jcore.ae.jpos.tagger.Unit

getLexiconKeys(Properties) - Method in class de.julielab.jcore.ae.jpos.tagger.FeatureConfiguration

getModel() - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

return the model

getNumber_Iterations() - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

getRep() - Method in class de.julielab.jcore.ae.jpos.tagger.Unit

getStandardDeviation(double[], double) - Static method in class de.julielab.jcore.ae.jpos.main.JPOSApplication

getStringArray(Properties, String) - Method in class de.julielab.jcore.ae.jpos.tagger.FeatureConfiguration

Gets the value of a property, splitting it into Strings

getUnits() - Method in class de.julielab.jcore.ae.jpos.tagger.Sentence

H

hasNext() - Method in class de.julielab.jcore.ae.jpos.pipes.SentencePipeIterator

hasSameOffset(Annotation, Annotation) - Static method in class de.julielab.jcore.ae.jpos.postagger.UIMAUtils

check whether two annotation have exactly the same offset

I

initialize(UimaContext) - Method in class de.julielab.jcore.ae.jpos.postagger.POSAnnotator

Initialisiation of UIMA-JNET.

isTrained() - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

returns true when model has been successfully trained.

J

JPOSApplication - Class in de.julielab.jcore.ae.jpos.main

Command line application

JPOSApplication() - Constructor for class de.julielab.jcore.ae.jpos.main.JPOSApplication

M

main(String[]) - Static method in class de.julielab.jcore.ae.jpos.main.JPOSApplication

main(String[]) - Static method in class de.julielab.jcore.ae.jpos.pipes.NGramGenerator

N

next() - Method in class de.julielab.jcore.ae.jpos.pipes.SentencePipeIterator

NGramGenerator - Class in de.julielab.jcore.ae.jpos.pipes

NGramGenerator() - Constructor for class de.julielab.jcore.ae.jpos.pipes.NGramGenerator

O

offsetConjFromConfig(String) - Method in class de.julielab.jcore.ae.jpos.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.jpos.pipes.TokenNGramPipe

POSAnnotator - Class in de.julielab.jcore.ae.jpos.postagger

POSAnnotator() - Constructor for class de.julielab.jcore.ae.jpos.postagger.POSAnnotator

POSTagger - Class in de.julielab.jcore.ae.jpos.tagger

general class which does all the ML stuff

POSTagger() - Constructor for class de.julielab.jcore.ae.jpos.tagger.POSTagger

default constructor

POSTagger(File) - Constructor for class de.julielab.jcore.ae.jpos.tagger.POSTagger

constructor for feature config file

PPDtoUnits(String) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

takes a sentence in piped format and returns the corresponding unit sentence as a Sentence object

predictForCLI(ArrayList<Sentence>) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

predict the entity labels by means of a previously learned model.

predictForUIMA(Sentence) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

predicts the entity labels by means of a model.

printFeatureConfig(File) - Static method in class de.julielab.jcore.ae.jpos.main.JPOSApplication

prints out the feature configuration used in the model 'modelFile'

printTagset(File) - Static method in class de.julielab.jcore.ae.jpos.main.JPOSApplication

prints out the tagset used in the model 'modelFile'

process(JCas) - Method in class de.julielab.jcore.ae.jpos.postagger.POSAnnotator

process current CAS.

R

readModel(File) - Static method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.

readModel(InputStream) - Static method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.

remove() - Method in class de.julielab.jcore.ae.jpos.pipes.SentencePipeIterator

S

Sentence - Class in de.julielab.jcore.ae.jpos.tagger

Sentence() - Constructor for class de.julielab.jcore.ae.jpos.tagger.Sentence

Sentence(ArrayList<Unit>) - Constructor for class de.julielab.jcore.ae.jpos.tagger.Sentence

SentencePipeIterator - Class in de.julielab.jcore.ae.jpos.pipes

SentencePipeIterator(ArrayList<Sentence>) - Constructor for class de.julielab.jcore.ae.jpos.pipes.SentencePipeIterator

set_Number_Iterations(int) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

setFeatureConfig(Properties) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

setLabel(String) - Method in class de.julielab.jcore.ae.jpos.tagger.Unit

setRep(String) - Method in class de.julielab.jcore.ae.jpos.tagger.Unit

ShuffleFileContents(File, File) - Static method in class de.julielab.jcore.ae.jpos.utils.Utils

shuffles the contents of a file on a sentence level

size() - Method in class de.julielab.jcore.ae.jpos.tagger.Sentence

T

textToUnits(String) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

TokenNGramPipe - Class in de.julielab.jcore.ae.jpos.pipes

TokenNGramPipe(int[]) - Constructor for class de.julielab.jcore.ae.jpos.pipes.TokenNGramPipe

toString() - Method in class de.julielab.jcore.ae.jpos.tagger.Sentence

toString() - Method in class de.julielab.jcore.ae.jpos.tagger.Unit

train(ArrayList<Sentence>) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

this is to train a NE model (based on CRF); when trained, the model is stored internally.

U

UIMAUtils - Class in de.julielab.jcore.ae.jpos.postagger

TODO this tools should be added to JULES Utils

UIMAUtils() - Constructor for class de.julielab.jcore.ae.jpos.postagger.UIMAUtils

Unit - Class in de.julielab.jcore.ae.jpos.tagger

Unit(int, int, String) - Constructor for class de.julielab.jcore.ae.jpos.tagger.Unit

Unit(int, int, String, String) - Constructor for class de.julielab.jcore.ae.jpos.tagger.Unit

Utils - Class in de.julielab.jcore.ae.jpos.utils

Utils() - Constructor for class de.julielab.jcore.ae.jpos.utils.Utils

W

writeFile(File, String) - Static method in class de.julielab.jcore.ae.jpos.utils.Utils

writeFile(File, List<String>) - Static method in class de.julielab.jcore.ae.jpos.utils.Utils

writes ArrayList into file.

writeModel(String) - Method in class de.julielab.jcore.ae.jpos.tagger.POSTagger

Save the model learned to disk.

writeToCAS(Sentence, JCas, ArrayList<Token>) - Method in class de.julielab.jcore.ae.jpos.postagger.POSAnnotator

creates the respective uima annotations from JPOS's predictions.

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