In this paper we present BabelNet - a very large, wide-coverage multilingual semantic network. The resource is automatically constructed by means of a methodology that integrates lexicographic and encyclopedic knowledge from WordNet and Wikipedia. In addition Machine Translation is also applied to enrich the resource with lexical information for all languages. We conduct experiments on new and existing gold-standard datasets to show the high quality and coverage of the resource. © 2010 Association for Computational Linguistics.
BabelNet: Building a very large multilingual semantic network / Navigli, Roberto; Ponzetto, SIMONE PAOLO. - STAMPA. - (2010), pp. 216-225. (Intervento presentato al convegno 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 tenutosi a Uppsala nel 11 July 2010 through 16 July 2010).
BabelNet: Building a very large multilingual semantic network
NAVIGLI, ROBERTO;PONZETTO, SIMONE PAOLO
2010
Abstract
In this paper we present BabelNet - a very large, wide-coverage multilingual semantic network. The resource is automatically constructed by means of a methodology that integrates lexicographic and encyclopedic knowledge from WordNet and Wikipedia. In addition Machine Translation is also applied to enrich the resource with lexical information for all languages. We conduct experiments on new and existing gold-standard datasets to show the high quality and coverage of the resource. © 2010 Association for Computational Linguistics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
