This paper presents a corpus-based approach to word sense disambiguation where a decision tree assigns a sense to an ambiguous word based on the bigrams that occur nearby. This approach is evaluated using the sense-tagged corpora from the 1998 SENSEVAL word sense disambiguation exercise. It is more accurate than the average results reported for 30 of 36 words, and is more accurate than the best results for 19 of 36 words.
|Original language||English (US)|
|Title of host publication||Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings|
|Number of pages||12|
|ISBN (Print)||3540416870, 9783540416876|
|State||Published - 2001|
|Event||2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, Mexico|
Duration: Feb 18 2001 → Feb 24 2001
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001|
|Period||2/18/01 → 2/24/01|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.