Maximizing Semantic Relatedness to Perform Word Sense Disambiguation
Ted Pedersen, Satanjeev Banerjee, Siddharth Patwardhan · 2005
This article presents a method of word sense disambiguation that assigns a target word the sense that is most related to the senses of its neighboring words. We explore the use of measures of similarity and relatedness that are based on finding paths in a concept network, information content derived from a large corpus, and word sense glosses. We observe that measures of relatedness are useful sources of information for disambiguation, and in particular we find that two gloss based measures that we have developed are particularly flexible and e#ective measures for word sense disambiguation.