Lesk (1986) is the first to leverage the definitions of words in machine readable dictionaries to predict word senses.
wordNet, a valuable knowledge source encoded with hyponym, hypernym, and synonym semantic relations, is used to measure semantic distances among word senses to help sense disambiguation (Agirre and Rigau, 1996;Galley and McKeown, 2003).