Summary of the paper
| Title | Testing Semantic Similarity Measures for Extracting Synonyms from a Corpus |
|---|---|
| Authors | Olivier Ferret |
| Abstract | The definition of lexical semantic similarity measures has been the subject oflots of works for many years. In this article, we focus more specifically ondistributional semantic similarity measures. Although several evaluations ofthis kind of measures were already achieved for determining if they actuallycatch semantic relatedness, it is still difficult to determine if a measurethat performs well in an evaluation framework can be applied more widely withthe same success. In the work we present here, we first select a semanticsimilarity measure by testing a large set of such measures against theWordNet-based Synonymy Test, an extended TOEFL test proposed in (Freitag etal., 2005), and we show that its accuracy is comparable to the accuracy of thebest state of the art measures while it has less demanding requirements. Then,we apply this measure for extracting automatically synonyms from a corpus andwe evaluate the relevance of this process against two reference resources,WordNet and the Moby thesaurus. Finally, we compare our results in details tothose of (Curran and Moens, 2002). |
| Language | Lexicon, lexical database |
| Topics | Semantics, Acquisition, Lexicon, lexical database |
Full paper  |
Testing Semantic Similarity Measures for Extracting Synonyms from a Corpus |
| Bibtex | @InProceedings{FERRET10.815, author = {Olivier Ferret}, title = {Testing Semantic Similarity Measures for Extracting Synonyms from a Corpus}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |