edu.washington.cs.knowitall.extractor.conf

Class ReVerbIndependentConfFunction

java.lang.Object

edu.washington.cs.knowitall.extractor.conf.ReVerbIndependentConfFunction

All Implemented Interfaces:

ConfidenceFunction

public class ReVerbIndependentConfFunction
extends Object
implements ConfidenceFunction

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 the boolean features defined by the ReVerbFeatures class. See that documentation for details.

Author:

schmmd

Constructor Summary

Constructors

Constructor and Description
ReVerbIndependentConfFunction(File modelFile) Loads the model from specified file.
ReVerbIndependentConfFunction(String modelResourceName) Loads the model as a resource from the root.
ReVerbIndependentConfFunction(URL modelUrl) Loads the model from the specified url.

Method Summary

Methods

Modifier and Type	Method and Description
double	getConf(ChunkedBinaryExtraction extr)

Methods inherited from class java.lang.Object

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

Constructor Detail

ReVerbIndependentConfFunction

public ReVerbIndependentConfFunction(URL modelUrl)

Loads the model from the specified url.

Parameters:

model - an URL to the model

ReVerbIndependentConfFunction

public ReVerbIndependentConfFunction(File modelFile)
                              throws MalformedURLException

Loads the model from specified file.

Parameters:

model - the model file to load

Throws:

MalformedURLException

ReVerbIndependentConfFunction

public ReVerbIndependentConfFunction(String modelResourceName)

Loads the model as a resource from the root.

Parameters:

model - the model file to load

Method Detail

getConf

public double getConf(ChunkedBinaryExtraction extr)
               throws ConfidenceFunctionException

Specified by:

getConf in interface ConfidenceFunction

Parameters:

extr -

Returns:

the probability that the given extraction belongs to the positive class

Throws:

ConfidenceFunctionException - if unable to compute the confidence score