Abstract
This paper presents an adaptation of Lesk’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.
| Original language | English (US) |
|---|---|
| Title of host publication | Computational Linguistics and Intelligent Text Processing - 3rd International Conference, CICLing 2002, Proceedings |
| Editors | Alexander Gelbukh |
| Publisher | Springer Verlag |
| Pages | 136-145 |
| Number of pages | 10 |
| ISBN (Print) | 3540432191, 9783540457152 |
| DOIs | |
| State | Published - 2002 |
| Event | 3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002 - Mexico City, Mexico Duration: Feb 17 2002 → Feb 23 2002 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2276 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002 |
|---|---|
| Country/Territory | Mexico |
| City | Mexico City |
| Period | 2/17/02 → 2/23/02 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2002.