BabelNet: Building a Very Large Multilingual Semantic Network

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.