@inproceedings{0479cffcb5c449d4b26ea9d45fdfef23,
title = "An adapted lesk algorithm for word sense disambiguation using wordnet",
abstract = "This paper presents an adaptation of Lesk{\textquoteright}s dictionary-based 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 = "Satanjeev Banerjee and Ted Pedersen",
year = "2002",
month = jan,
day = "1",
doi = "10.1007/3-540-45715-1_11",
language = "English (US)",
isbn = "3540432191",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "136--145",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing - 3rd International Conference, CICLing 2002, Proceedings",
note = "3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002 ; Conference date: 17-02-2002 Through 23-02-2002",
}