An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet

@incollection{citeulike:2732784, abstract = {This paper presents an adaptation of Lesk’s dictionarybased word sense disambiguation algorithm. Rather than using a standard dictionary as the source of glosses for our approach, the lexical database WordNet is employed. This provides a rich hierarchy of semantic relations that our algorithm can exploit. This method is evaluated using the English lexical sample data from the Senseval-2 word sense disambiguation exercise, and attains an overall accuracy of 32\%. This represents a significant improvement over the 16\% and 23\% accuracy attained by variations of the Lesk algorithm used as benchmarks during the SENSEVAL-2 comparative exercise among word sense disambiguation systems.}, author = {Banerjee, Satanjeev and Pedersen, Ted }, citeulike-article-id = {2732784}, doi = {10.1007/3-540-45715-1\_11}, journal = {Computational Linguistics and Intelligent Text Processing}, pages = {117--171}, posted-at = {2008-04-29 10:00:18}, priority = {5}, title = {An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet}, url = {http://dx.doi.org/10.1007/3-540-45715-1\_11}, year = {2002} }

TY - CHAP ID - citeulike:2732784 L3 - citeulike-article-id:2732784 TI - An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet JF - Computational Linguistics and Intelligent Text Processing SP - 117 EP - 171 N2 - This paper presents an adaptation of Lesk’s dictionarybased word sense disambiguation algorithm. Rather than using a standard dictionary as the source of glosses for our approach, the lexical database WordNet is employed. This provides a rich hierarchy of semantic relations that our algorithm can exploit. This method is evaluated using the English lexical sample data from the Senseval-2 word sense disambiguation exercise, and attains an overall accuracy of 32%. This represents a significant improvement over the 16% and 23% accuracy attained by variations of the Lesk algorithm used as benchmarks during the SENSEVAL-2 comparative exercise among word sense disambiguation systems. AU - Banerjee, Satanjeev AU - Pedersen, Ted PY - 2002/// UR - http://dx.doi.org/10.1007/3-540-45715-1_11 ER -