| Modifier and Type | Method and Description |
|---|---|
LabelAlphabet |
Classifier.getLabelAlphabet() |
| Modifier and Type | Method and Description |
|---|---|
LabelAlphabet |
Extraction.getLabelAlphabet() |
LabelAlphabet |
Extractor.getTargetAlphabet()
Returns an alphabet of the labels used by the extractor.
|
LabelAlphabet |
CRFExtractor.getTargetAlphabet() |
| Modifier and Type | Method and Description |
|---|---|
LabeledSpans |
TokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
Object document,
Label backgroundTag,
Tokenization input,
Sequence seq)
Converts a the sequence of labels into a set of labeled spans.
|
LabeledSpans |
HierarchicalTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
Object document,
Label backgroundTag,
Tokenization input,
Sequence seq) |
LabeledSpans |
DefaultTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
Object document,
Label backgroundTag,
Tokenization input,
Sequence seq) |
LabeledSpans |
ConfidenceTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
Object document,
Label backgroundTag,
Tokenization input,
Sequence seq) |
LabeledSpans |
BIOTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
Object document,
Label backgroundTag,
Tokenization input,
Sequence seq) |
| Constructor and Description |
|---|
DocumentExtraction(String name,
LabelAlphabet dict,
Tokenization input,
LabeledSpans predictedSpans,
LabeledSpans trueSpans,
String background) |
DocumentExtraction(String name,
LabelAlphabet dict,
Tokenization input,
Sequence predicted,
Sequence target,
String background) |
DocumentExtraction(String name,
LabelAlphabet dict,
Tokenization input,
Sequence predicted,
Sequence target,
String background,
TokenizationFilter filter) |
DocumentExtraction(String name,
LabelAlphabet dict,
Tokenization input,
Sequence predicted,
String background) |
Extraction(Extractor extractor,
LabelAlphabet dict)
Creates an empty Extraction option.
|
Extraction(Extractor extractor,
LabelAlphabet dict,
String name,
Tokenization input,
Sequence output,
String background)
Creates an extration given a sequence output by some kind of per-sequece labeler, like an
HMM or a CRF.
|
| Modifier and Type | Method and Description |
|---|---|
Transducer.Lattice |
Transducer.forwardBackward(Sequence inputSequence,
Sequence outputSequence,
boolean increment,
boolean saveXis,
LabelAlphabet outputAlphabet) |
Transducer.Lattice |
Transducer.forwardBackward(Sequence inputSequence,
Sequence outputSequence,
boolean increment,
LabelAlphabet outputAlphabet) |
Transducer.BeamLattice |
Transducer.forwardBackwardBeam(Sequence inputSequence,
Sequence outputSequence,
boolean increment,
boolean saveXis,
LabelAlphabet outputAlphabet) |
Transducer.BeamLattice |
Transducer.forwardBackwardBeam(Sequence inputSequence,
Sequence outputSequence,
boolean increment,
LabelAlphabet outputAlphabet) |
| Constructor and Description |
|---|
BeamLattice(Sequence input,
Sequence output,
boolean increment,
boolean saveXis,
LabelAlphabet outputAlphabet) |
BeamLattice(Sequence input,
Sequence output,
boolean increment,
LabelAlphabet outputAlphabet,
int[] constraints)
Create a lattice that constrains its transitions such that the
|
Lattice(Sequence input,
Sequence output,
boolean increment,
boolean saveXis,
LabelAlphabet outputAlphabet) |
Lattice(Sequence input,
Sequence output,
boolean increment,
LabelAlphabet outputAlphabet,
int[] constraints)
Create a lattice that constrains its transitions such that the
|
| Constructor and Description |
|---|
Target2Label(LabelAlphabet ldict) |
| Modifier and Type | Method and Description |
|---|---|
LabelAlphabet |
RandomFeatureVectorIterator.getLabelAlphabet() |
| Modifier and Type | Method and Description |
|---|---|
LabelAlphabet |
Labeling.getLabelAlphabet() |
LabelAlphabet |
LabelVector.getLabelAlphabet() |
LabelAlphabet |
LabelSequence.getLabelAlphabet() |
LabelAlphabet |
Label.getLabelAlphabet() |
| Constructor and Description |
|---|
LabelSequence(LabelAlphabet dict,
int capacity) |
LabelSequence(LabelAlphabet dict,
int[] features) |
LabelVector(LabelAlphabet dict,
double[] values) |
LabelVector(LabelAlphabet dict,
int[] features,
double[] values) |
Copyright © 2019 JULIE Lab, Germany. All rights reserved.