Integrating selectional preferences in WordNet
| dc.creator | Agirre, Eneko | |
| dc.creator | Martinez, David | |
| dc.date | 2002-04-11 | |
| dc.date.accessioned | 2026-07-07T03:18:18Z | |
| dc.date.available | 2026-07-07T03:18:18Z | |
| dc.description | Selectional preference learning methods have usually focused on word-to-class relations, e.g., a verb selects as its subject a given nominal class. This paper extends previous statistical models to class-to-class preferences, and presents a model that learns selectional preferences for classes of verbs, together with an algorithm to integrate the learned preferences in WordNet. The theoretical motivation is twofold: different senses of a verb may have different preferences, and classes of verbs may share preferences. On the practical side, class-to-class selectional preferences can be learned from untagged corpora (the same as word-to-class), they provide selectional preferences for less frequent word senses via inheritance, and more important, they allow for easy integration in WordNet. The model is trained on subject-verb and object-verb relationships extracted from a small corpus disambiguated with WordNet senses. Examples are provided illustrating that the theoretical motivations are well founded, and showing that the approach is feasible. Experimental results on a word sense disambiguation task are also provided. | |
| dc.description | 9 pages | |
| dc.identifier | https://arxiv.org/abs/cs/0204027 | |
| dc.identifier | http://arxiv.org/abs/cs/0204027 | |
| dc.identifier | Proceedings of First International WordNet Conference. Mysore (India). 2002 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31057 | |
| dc.subject | Computation and Language | |
| dc.subject | I.2.7 | |
| dc.title | Integrating selectional preferences in WordNet | |
| dc.type | text |