| Título |
Web-based Variant of the Lesk Approach to Word Sense Disambiguation |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
IEEE Xplore Digital Library; 8th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2009 |
| Resumen |
Word Sense Disambiguation (WSD) is the task of selecting the meaning of a word based on the context in which the word occurs. The principal statistical WSD approaches are supervised and unsupervised learning. The Lesk method is an example of unsupervised disambiguation. We present a measure for sense assignment useful for the simple Lesk algorithm. We use word co-occurrences of the gloss and the context, which is statistical information retrieved from the Web. In the SemCor data our method always gives an answer. On the Senseval 2 data, our variant of the Lesk method outperformed some other Leskbased methods. |
| Observaciones |
8th Mexican International Conference on Artificial Intelligence, MICAI 2009; Category numberP3933; Code 79870; Article number 5372708, |
| Lugar |
Guanajuato |
| País |
Mexico |
| No. de páginas |
103-107 |
| Vol. / Cap. |
|
| Inicio |
2009-11-09 |
| Fin |
2009-11-13 |
| ISBN/ISSN |
978-076953933-1 |
