Abstract
A corpus-based approach is proposed where multiple usages of an ambiguous word are divided into a specified number of sense groups based on features that are automatically obtained from the immediately surrounding raw text. The evaluation of the different methods used for ambiguation is based on the degree to which the discovered sense groups agree with those created by a human judge. Results suggest that some combination of the expectation maximization (EM) algorithm and Gibbs sampling might be beneficial.
| Original language | English (US) |
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| Title of host publication | Innovative Applications of Artificial Intelligence - Conference Proceedings |
| Editors | Anon |
| Publisher | AAAI |
| Number of pages | 1 |
| State | Published - Jan 1 1998 |
| Event | Proceedings of the 1998 10th Conference on Innovative Applications of Artificial Intelligence, IAAI - Madison, WI, USA Duration: Jul 26 1998 → Jul 30 1998 |
Other
| Other | Proceedings of the 1998 10th Conference on Innovative Applications of Artificial Intelligence, IAAI |
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| City | Madison, WI, USA |
| Period | 7/26/98 → 7/30/98 |