public class Chunker
extends edu.illinois.cs.cogcomp.lbjava.learn.SparseNetworkLearner
Token
. PreviousTags
from this package and POSWindow
from the LBJ POS tagger package as
well as Forms
, Capitalization
, WordTypeInformation
, and
Affixes
from the LBJ library are used as features. This classifier caches its
prediction in the Token.type
field, and it will simply return the value of this
field as its prediction if it is non-null.Modifier and Type | Class and Description |
---|---|
static class |
Chunker.Parameters |
Modifier and Type | Field and Description |
---|---|
static boolean |
isTraining |
baseLTU, conjunctiveLabels, defaultBaseLTU, network, numExamples, numFeatures
Constructor and Description |
---|
Chunker() |
Chunker(Chunker.Parameters p,
String modelPath,
String lexiconPath) |
Chunker(ResourceManager config) |
Chunker(String modelPath,
String lexiconPath) |
Modifier and Type | Method and Description |
---|---|
edu.illinois.cs.cogcomp.lbjava.classify.FeatureVector |
classify(Object __example) |
String |
discreteValue(Object __example) |
boolean |
equals(Object o) |
edu.illinois.cs.cogcomp.lbjava.classify.Feature |
featureValue(Object __example) |
String |
getInputType() |
String |
getOutputType() |
int |
hashCode() |
classify, clone, conjunctiveScores, conjunctiveValueOf, discreteValue, doneLearning, doneWithRound, featureValue, forget, getBaseLTU, getLTU, getNetwork, getNumExamples, getNumFeatures, getParameters, initialize, isUsingConjunctiveLabels, learn, read, scores, scores, scores, setConjunctiveLabels, setExtractor, setLabeler, setLTU, setNetworkLabel, setParameters, valueOf, valueOf, write, write
classify, classify, classify, countFeatures, createPrediction, createPrediction, demandLexicon, discreteValue, emptyClone, featureValue, getCurrentLexicon, getExampleArray, getExampleArray, getExtractor, getLabeler, getLabelLexicon, getLexicon, getLexiconDiscardCounts, getLexiconLocation, getModelLocation, getPrunedLexiconSize, learn, learn, learn, learn, read, readLabelLexicon, readLearner, readLearner, readLearner, readLearner, readLearner, readLearner, readLexicon, readLexicon, readLexiconOnDemand, readLexiconOnDemand, readModel, readModel, readParameters, realValue, realValue, realValue, save, saveLexicon, saveModel, scores, scores, scoresAugmented, setCandidates, setEncoding, setLabelLexicon, setLexicon, setLexiconLocation, setLexiconLocation, setLossFlag, setModelLocation, setModelLocation, setParameters, setReadLexiconOnDemand, unclone, unsetLossFlag, write, writeLexicon, writeModel, writeParameters
public Chunker()
public Chunker(ResourceManager config)
public Chunker(Chunker.Parameters p, String modelPath, String lexiconPath)
public String getInputType()
getInputType
in class edu.illinois.cs.cogcomp.lbjava.classify.Classifier
public String getOutputType()
getOutputType
in class edu.illinois.cs.cogcomp.lbjava.classify.Classifier
public edu.illinois.cs.cogcomp.lbjava.classify.FeatureVector classify(Object __example)
classify
in class edu.illinois.cs.cogcomp.lbjava.learn.Learner
public edu.illinois.cs.cogcomp.lbjava.classify.Feature featureValue(Object __example)
featureValue
in class edu.illinois.cs.cogcomp.lbjava.learn.Learner
public String discreteValue(Object __example)
discreteValue
in class edu.illinois.cs.cogcomp.lbjava.learn.Learner
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