edu.washington.cs.knowitall.argumentidentifier
Class ConfidenceMetric

java.lang.Object
  edu.washington.cs.knowitall.argumentidentifier.ConfidenceMetric

All Implemented Interfaces:

ConfidenceFunction

public class ConfidenceMetric
extends Object
implements ConfidenceFunction

An extraction confidence function that uses a logistic regression classifier. It assigns an extraction a real valued number between 0 and 1 according to the logistic regression model.

Author:

janara

Constructor Summary

ConfidenceMetric()

ConfidenceMetric(LogisticRegression<ChunkedBinaryExtraction> logreg)

ConfidenceMetric(URL url)

Method Summary

double

getConf(ChunkedBinaryExtraction extr)

Methods inherited from class java.lang.Object

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

Constructor Detail

ConfidenceMetric

public ConfidenceMetric()
                 throws IOException

Throws:

IOException

ConfidenceMetric

public ConfidenceMetric(LogisticRegression<ChunkedBinaryExtraction> logreg)
                 throws IOException

Throws:

IOException

ConfidenceMetric

public ConfidenceMetric(URL url)
                 throws IOException

Throws:

IOException

Method Detail

getConf

public double getConf(ChunkedBinaryExtraction extr)
               throws ConfidenceFunctionException

Specified by:

getConf in interface ConfidenceFunction

Throws:

ConfidenceFunctionException