edu.washington.cs.knowitall.extractor.conf.opennlp
Class OpenNlpConfFunction<E>

java.lang.Object
  edu.washington.cs.knowitall.extractor.conf.opennlp.OpenNlpConfFunction<E>

public class OpenNlpConfFunction<E>
extends Object

An extraction confidence function that is backed by a logistic regression classifier. This function will assign an extraction a real valued number between 0 and 1 according to the logistic regression model. It represents an extraction using a boolean feature set.

Author:

schmmd

Constructor Summary

OpenNlpConfFunction(opennlp.maxent.GISModel model, BooleanFeatureSet<E> featureSet)

Method Summary

String[]	featurize(E extr) Turn an extraction into the feature representation used by OpenNlp.
double	getConf(E extr)

Methods inherited from class java.lang.Object

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

Constructor Detail

OpenNlpConfFunction

public OpenNlpConfFunction(opennlp.maxent.GISModel model,
                           BooleanFeatureSet<E> featureSet)
                    throws IOException

Throws:

IOException

Method Detail

featurize

public String[] featurize(E extr)

Turn an extraction into the feature representation used by OpenNlp.

Parameters:

extr - the extraction to featurize

Returns:

a featurized representation

getConf

public double getConf(E extr)
               throws ConfidenceFunctionException

Parameters:

extr -

Returns:

the probability that the given extraction belongs to the positive class

Throws:

ConfidenceFunctionException - if unable to compute the confidence score