Maximizing Semantic Relatedness to Perform Word Sense Disambiguation

@misc{citeulike:160044, abstract = {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...}, author = {Pedersen and Banerjee and Patwardhan}, citeulike-article-id = {160044}, keywords = {semantic-similarity}, posted-at = {2005-04-13 21:50:01}, priority = {3}, title = {Maximizing Semantic Relatedness to Perform Word Sense Disambiguation}, url = {http://citeseer.ist.psu.edu/688236.html} }

TY - GEN ID - citeulike:160044 L3 - citeulike-article-id:160044 N2 - 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... TI - Maximizing Semantic Relatedness to Perform Word Sense Disambiguation KW - semantic-similarity AU - Pedersen AU - Banerjee AU - Patwardhan UR - http://citeseer.ist.psu.edu/688236.html ER -