Extending wordnets by learning from multiple resources
Résumé
In this paper we present an automatic, language-independent approach to extend an existing wordnet by recycling existing freely available bilingual resources, such as machine-readable dictionaries and on-line encyclopaedias. The approach is applied to Slovene and French. The words extracted from the bilingual resources are assigned one or several synset ids based on a classifier that relies on several features, including distributional similarity. Automatic and manual evaluation shows that the resulting extensions of sloWNet and WOLF are lexico-semantic repositories of high coverage as well as high quality.
Domaines
Informatique et langage [cs.CL]Origine | Fichiers produits par l'(les) auteur(s) |
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