Learning Methods for Combining Linguistic Indicators to Classify Verbs
| dc.creator | Siegel, Eric V. | |
| dc.date | 1997-09-12 | |
| dc.date | 1997-09-13 | |
| dc.date.accessioned | 2026-07-07T09:02:23Z | |
| dc.date.available | 2026-07-07T09:02:23Z | |
| dc.description | Fourteen linguistically-motivated numerical indicators are evaluated for their ability to categorize verbs as either states or events. The values for each indicator are computed automatically across a corpus of text. To improve classification performance, machine learning techniques are employed to combine multiple indicators. Three machine learning methods are compared for this task: decision tree induction, a genetic algorithm, and log-linear regression. | |
| dc.description | 7 pages, Latex, in the Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Providence, Rhode Island, 1997 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9709002 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9709002 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/148613 | |
| dc.subject | Computation and Language | |
| dc.title | Learning Methods for Combining Linguistic Indicators to Classify Verbs | |
| dc.type | text |