edu.illinois.cs.cogcomp.comma.sl

Class StructuredCommaClassifier

java.lang.Object

edu.illinois.cs.cogcomp.sl.core.SLModel

edu.illinois.cs.cogcomp.comma.sl.StructuredCommaClassifier

All Implemented Interfaces:

Serializable

public class StructuredCommaClassifier
extends edu.illinois.cs.cogcomp.sl.core.SLModel

See Also:

Serialized Form

Field Summary

Fields inherited from class edu.illinois.cs.cogcomp.sl.core.SLModel

para, s_finder, wv

Constructor Summary

Constructors

Constructor and Description
StructuredCommaClassifier(List<edu.illinois.cs.cogcomp.lbjava.classify.Classifier> lbjExtractors, edu.illinois.cs.cogcomp.lbjava.classify.Classifier lbjLabeler)

Method Summary

Modifier and Type	Method and Description
EvaluateDiscrete	test(List<CommaSRLSentence> sentences, String predictionFileName)
void	train(List<CommaSRLSentence> sentences, String modelPath)

Methods inherited from class edu.illinois.cs.cogcomp.sl.core.SLModel

loadModel, saveModel

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

StructuredCommaClassifier

public StructuredCommaClassifier(List<edu.illinois.cs.cogcomp.lbjava.classify.Classifier> lbjExtractors,
                                 edu.illinois.cs.cogcomp.lbjava.classify.Classifier lbjLabeler)
                          throws Exception

Parameters:

lbjExtractors - the LBJava extractors we use to get features. Thus we are easily able to build features for sl

lbjLabeler - the LBJava labeler we use to get labels

Throws:

Exception

Method Detail

train

public void train(List<CommaSRLSentence> sentences,
                  String modelPath)
           throws Exception

Parameters:

sentences - the training set

modelPath - the location to save the learnt model. If it is null, it is not saved

Throws:

Exception

test

public EvaluateDiscrete test(List<CommaSRLSentence> sentences,
                             String predictionFileName)
                      throws Exception

Parameters:

sentences - the test set

predictionFileName - location to which to save the predictions of the model. If it is null, predictions are not saved

Returns:

and EvaluateDiscrete object which can provide the performance statistics

Throws:

Exception