BabelNet: Building a Very Large Multilingual Semantic Network
|BabelNet: Building a Very Large Multilingual Semantic Network|
|Author(s)||Simone Ponzetto Roberto Navigli|
|Published in||Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), Uppsala, Sweden|
|Keyword(s)||wikipedia, knowledge acquisition, semantic networks|
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BabelNet: Building a Very Large Multilingual Semantic Network is a 2010 conference paper by Simone Ponzetto Roberto Navigli and published in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), Uppsala, Sweden.
BabelNet, a very large, wide-coverage multilingual semantic network, 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.
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