com.articulate.sigma.nlp

Class WNsim

java.lang.Object

com.articulate.sigma.nlp.WNsim

public class WNsim
extends Object

an implementation of Resnik, P. (1995). Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, 448–453.

Constructor Summary

Constructors

Constructor and Description
WNsim()

Method Summary

Modifier and Type	Method and Description
static void	calcMaxFreqs()
static HashMap<String,Integer>	computeSubsumingFreq(HashSet<String> childRels, HashSet<String> parentRels)
static int	computeSubsumingFreq2(HashSet<String> childRels, HashSet<String> parentRels)
static int	computeSubsumingFreq2(String synset, HashSet<String> childRels, HashSet<String> parentRels)
static float	computeSynsetSim(String s1, String s2) Compute similarity of two synsets.
static float	computeWordSim(String s1, String s2) Compute similarity of two words as the maximum similarity among their possible synsets.
static double	correlation(HashMap<String,Float> x, HashMap<String,Float> y) determine the sample correlation coefficient
static float	deviation(HashMap<String,Float> x, HashMap<String,Float> y, float meanx, float meany)
static HashMap<String,Integer>	getSubsumingFreq()
static void	main(String[] args) A main method, used only for testing.
static float	mean(HashMap<String,Float> x)
static HashMap<String,HashMap<String,Float>>	readTestFile(String filename, String regex, boolean removePOS) Read a space-delimited file of word pairs and their similarity rating.
static float	sqDeviation(HashMap<String,Float> x, float mean)
static void	test()

Methods inherited from class java.lang.Object

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

Constructor Detail

WNsim

public WNsim()

Method Detail

calcMaxFreqs

public static void calcMaxFreqs()

getSubsumingFreq

public static HashMap<String,Integer> getSubsumingFreq()

computeSubsumingFreq

public static HashMap<String,Integer> computeSubsumingFreq(HashSet<String> childRels,
                                                           HashSet<String> parentRels)

computeSubsumingFreq2

public static int computeSubsumingFreq2(HashSet<String> childRels,
                                        HashSet<String> parentRels)

computeSubsumingFreq2

public static int computeSubsumingFreq2(String synset,
                                        HashSet<String> childRels,
                                        HashSet<String> parentRels)

computeSynsetSim

public static float computeSynsetSim(String s1,
                                     String s2)

Compute similarity of two synsets. Note that currently only synsets of the same part of speech have any similarity score.

computeWordSim

public static float computeWordSim(String s1,
                                   String s2)

Compute similarity of two words as the maximum similarity among their possible synsets. Note that currently only synsets of the same part of speech have any similarity score.

readTestFile

public static HashMap<String,HashMap<String,Float>> readTestFile(String filename,
                                                                 String regex,
                                                                 boolean removePOS)

Read a space-delimited file of word pairs and their similarity rating.

mean

public static float mean(HashMap<String,Float> x)

deviation

public static float deviation(HashMap<String,Float> x,
                              HashMap<String,Float> y,
                              float meanx,
                              float meany)

sqDeviation

public static float sqDeviation(HashMap<String,Float> x,
                                float mean)

correlation

public static double correlation(HashMap<String,Float> x,
                                 HashMap<String,Float> y)

determine the sample correlation coefficient

test

public static void test()

main

public static void main(String[] args)

A main method, used only for testing. It should not be called during normal operation.