Combining conceptnet and wordnet for word sense disambiguation
Junpeng Chen, Juan Liu · 2011
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 en-rich WordNet with large amounts of semantic relations from the disambiguated ConceptNet for WSD. The evaluation experiments on the Semeval-2007 coarse-grained all-words dis-ambiguation task show that the enriched WordNet can significantly improve the per-formance of knowledge-based WSD methods.