Paper: BabelNet: Building a Very Large Multilingual Semantic Network

ACL ID P10-1023
Title BabelNet: Building a Very Large Multilingual Semantic Network
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

In this paper we present BabelNet – a very large, wide-coverage multilingual se- mantic network. The resource is automat- ically constructed by means of a method- ology that integrates lexicographic and en- cyclopedic knowledge from WordNet and Wikipedia. In addition Machine Transla- tion is also applied to enrich the resource with lexical information for all languages. We conduct experiments on new and ex- isting gold-standard datasets to show the high quality and coverage of the resource.