Combining ConceptNet and WordNet for Word Sense Disambiguation
نویسندگان
چکیده
Knowledge-based Word sense Disambiguation (WSD) methods heavily depend on knowledge. Therefore enriching knowledge is one of the most important issues in WSD. This paper proposes a novel idea of combining WordNet and ConceptNet for WSD. First, we present a novel method to automatically disambiguate the concepts in ConceptNet; and then we enrich WordNet with large amounts of semantic relations from the disambiguated ConceptNet for WSD. The evaluation experiments on the Semeval-2007 coarse-grained all-words disambiguation task show that the enriched WordNet can significantly improve the performance of knowledge-based WSD methods.
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