PageRank-based Word Sense Induction within Web Search Results Clustering
Résumé
Word Sense Induction is an open problem in Natural Lan- guage Processing. Many recent works have been addressing this problem with a wide spectrum of strategies based on content analysis. In this paper, we present a sense induction strategy exclusively based on link analysis over the Web. In particular, we explore the idea that the main di erent senses of a given word share similar linking properties and can be found by performing clustering with link-based similarity metrics. The evaluation results show that PageRank-based sense induction achieves interesting results when compared to state-of-the-art content-based algorithms in the context of Web Search Results Clustering.
Origine | Fichiers produits par l'(les) auteur(s) |
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