How to resolve the difference between the values a

Question

I developed the following API for semantic matching for sentences using ws4j library. But im failing to get the semantic similarities. The ouptut is attached as an image which shows values which are redundant or 0. Is there any library which is missed out to be called?

package ws4jv01;

import edu.cmu.lti.lexical_db.ILexicalDatabase;
import edu.cmu.lti.lexical_db.NictWordNet;
import edu.cmu.lti.ws4j.RelatednessCalculator;
import edu.cmu.lti.ws4j.impl.HirstStOnge;
import edu.cmu.lti.ws4j.impl.JiangConrath;
import edu.cmu.lti.ws4j.impl.LeacockChodorow;
import edu.cmu.lti.ws4j.impl.Lesk;
import edu.cmu.lti.ws4j.impl.Lin;
import edu.cmu.lti.ws4j.impl.Path;
import edu.cmu.lti.ws4j.impl.Resnik;
import edu.cmu.lti.ws4j.impl.WuPalmer;

public class SentenceMatcherSimilarityMatrix
{
 private static ILexicalDatabase db = new NictWordNet();
 public double[][] getSimilarityMatrix( String[] words1, String[] words2, RelatednessCalculator rc )
{
    double[][] result = new double[words1.length][words2.length];
    for ( int i=0; i<words1.length; i++ ){
        for ( int j=0; j<words2.length; j++ ) {
            double score = rc.calcRelatednessOfWords(words1[i], words2[j]);
            result[i][j] = score;
          }
        }
    return result;
  }
  private void compute (String[] words1, String[] words2)
  {
    System.out.println("WuPalmer");
    RelatednessCalculator rc1 = new WuPalmer(db);
       {
        double[][] s1 = getSimilarityMatrix(words1, words2,rc1);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s1[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("Resnik");
    RelatednessCalculator rc2 = new Resnik(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc2);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("JiangConrath");
    RelatednessCalculator rc3 = new JiangConrath(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc3);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("Lin");
    RelatednessCalculator rc4 = new Lin(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc4);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("LeacockChodrow");
    RelatednessCalculator rc5 = new LeacockChodorow(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc5);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("Path");
    RelatednessCalculator rc6 = new Path(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc6);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("Lesk");
    RelatednessCalculator rc7 = new Lesk(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc7);
        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
        }}
    System.out.println();
    System.out.println();

    System.out.println("HirstStOnge");
    RelatednessCalculator rc8 = new HirstStOnge(db);
    {
        double[][] s2 = getSimilarityMatrix(words1, words2,rc8);

        for(int i=0; i<words1.length; i++){
            for(int j=0; j< words2.length; j++){
                System.out.print(s2[i][j] +"\t");
            } 
            System.out.println();
           }}
          }

public static void main(String[] args) 
{
    String sent1 = "The boy is playing with a dog.";
    String sent2 = "The kid is playing with his pet.";

    String[] words1 = sent1.split(" ");
    String[] words2 = sent2.split(" ");
    SentenceMatcherSimilarityMatrix sm1 = new SentenceMatcherSimilarityMatrix(); 
    sm1.compute(words1, words2);
}
}

Result set