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java.lang.Objectedu.washington.cs.knowitall.extractor.conf.ReVerbOpenNlpConfFunction
public class ReVerbOpenNlpConfFunction
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.
| Constructor Summary | |
|---|---|
ReVerbOpenNlpConfFunction()
Constructs a new instance of the confidence function. |
|
ReVerbOpenNlpConfFunction(File modelFile)
Load a model from the specified file. |
|
ReVerbOpenNlpConfFunction(String modelResourcePath)
Load a model specified as a resource path from the root. |
|
ReVerbOpenNlpConfFunction(URL url)
Constructs a new instance of the confidence function from the specified 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 |
|---|
public ReVerbOpenNlpConfFunction()
throws ConfidenceFunctionException,
IOException
ConfidenceFunctionException - if unable to initialize
IOException
public ReVerbOpenNlpConfFunction(URL url)
throws IOException
ConfidenceFunctionException - if unable to initialize
IOException
public ReVerbOpenNlpConfFunction(String modelResourcePath)
throws IOException
modelResourcePath -
IOException
public ReVerbOpenNlpConfFunction(File modelFile)
throws IOException
modelFile -
IOException| Method Detail |
|---|
public double getConf(ChunkedBinaryExtraction extr)
throws ConfidenceFunctionException
getConf in interface ConfidenceFunctionextr -
ConfidenceFunctionException - if unable to compute the confidence score
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