Using measures of semantic relatedness for word sense disambiguation

Authors:
Siddharth Patwardhan;Satanjeev Banerjee;Ted Pedersen
Affiliations:
University of Minnesota, Duluth, MN;Carnegie Mellon University, Pittsburgh, PA;University of Minnesota, Duluth, MN
Venue:
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Year:
2003

Citing 6
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Abstract

This paper generalizes the Adapted Lesk Algorithm of Banerjee and Pedersen (2002) to a method of word sense disambiguation based on semantic relatedness. This is possible since Lesk's original algorithm (1986) is based on gloss overlaps which can be viewed as a measure of semantic relatedness. We evaluate a variety of measures of semantic relatedness when applied to word sense disambiguation by carrying out experiments using the English lexical sample data of SENSEVAL-2. We find that the gloss overlaps of Adapted Lesk and the semantic distance measure of Jiang and Conrath (1997) result in the highest accuracy.