使用 dkpro 语义相似度与 uby

Question

我想计算具有 dkpro 相似度 (https://dkpro.github.io/dkpro-similarity/) 的字符串之间的相似度，它有效，如下所示：

import org.dkpro.similarity.algorithms.api.SimilarityException;
import org.dkpro.similarity.algorithms.api.TextSimilarityMeasure;
import org.dkpro.similarity.algorithms.lsr.LexSemResourceComparator;
import org.dkpro.similarity.algorithms.lsr.gloss.GlossOverlapComparator;
import org.dkpro.similarity.algorithms.lsr.path.JiangConrathComparator;
import org.dkpro.similarity.algorithms.lsr.path.LeacockChodorowComparator;
import org.dkpro.similarity.algorithms.lsr.path.LinComparator;
import org.dkpro.similarity.algorithms.lsr.path.ResnikComparator;
import org.dkpro.similarity.algorithms.lsr.path.WuPalmerComparator;

import de.tudarmstadt.ukp.dkpro.lexsemresource.LexicalSemanticResource;
import de.tudarmstadt.ukp.dkpro.lexsemresource.core.ResourceFactory;
import de.tudarmstadt.ukp.dkpro.lexsemresource.exception.LexicalSemanticResourceException;
import de.tudarmstadt.ukp.dkpro.lexsemresource.exception.ResourceLoaderException;
import learninggoals.analysis.controller.settingtypes.SimilarityAlgorithm;



public class SemResourceComparator implements WordsComparator{
private LexicalSemanticResource resource;
private LexSemResourceComparator comparator;

//en lang
public SemResourceComparator(String resourcetype, SimilarityAlgorithm algorithm, String lang) {

        try {
            resource = ResourceFactory.getInstance().get(resourcetype, lang);
        } catch (ResourceLoaderException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
        try {
        switch(algorithm){
        /*case ESA://this is vector
            comparator = new GlossOverlapComparator(resource, false);
            break;*/
        case GLOSSOVERLAP:          

            comparator = new GlossOverlapComparator(resource, false);
            break;
        case JIANG_CONRATH:
            comparator = new JiangConrathComparator(resource, resource.getRoot());
            break;
        case LEACOCK_CHODOROW:
            comparator = new LeacockChodorowComparator(resource);
            break;
        case LIN:
            comparator = new LinComparator(resource, resource.getRoot());
            break;
        case RESNIK:
            comparator = new ResnikComparator(resource, resource.getRoot());
            break;
        case WUPALMER:
            comparator = new WuPalmerComparator(resource, resource.getRoot());
            break;
        default:
            break;

        }
        } catch (LexicalSemanticResourceException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }

}

@Override
public double compareWords(String w1, String w2) {

   try {
    return comparator.getSimilarity(resource.getEntity(w1), resource.getEntity(w2));
} catch (SimilarityException e) {
    // TODO Auto-generated catch block
    e.printStackTrace();
} catch (LexicalSemanticResourceException e) {
    // TODO Auto-generated catch block
    e.printStackTrace();
}
   return 0;
}

我这样使用 class：

double intermscore = comparator.compareWords(word1, word2);

我使用LexicalSemanticResource作为比较资源，它可以是wordnet、wikipedia、germanet等。现在我注意到我需要的所有资源都在uby中(https://www.ukp.tu-darmstadt.de/data/lexical-resources/uby/, https://github.com/dkpro/dkpro-uby/blob/master/de.tudarmstadt.ukp.uby.lmf.api-asl/src/main/java/de/tudarmstadt/ukp/lmf/api/Uby.java)。

我的问题是：我可以用来自 uby 的资源替换资源，这样我就不必在每次需要时都重新包含新资源吗？所以我想使用 uby 资源而不是 ResourceFactory.getInstance().get("wordnet")，所以像 new Uby().getLexicalResource("wordnet") - 然而来自 uby 的词法资源是与我现在用于语义比较的 LexicalSemanticResource 不同。所以：而不是使用例如LexicalSemanticResource wordnet，我想使用 uby 的 wordnet 作为比较器。有办法吗？

Answer 1

目前没有办法做到这一点。 Uby资源和LSR资源不兼容

有切换的计划，但这个问题已经有一段时间了： https://github.com/dkpro/dkpro-similarity/issues/39

使用 dkpro 语义相似度与 uby

Use dkpro semantic similarity with uby

java

semantics

lexical-analysis

dkpro-core

semantic-comparison