Learning class-to-class selectional preferences

dc.creatorAgirre, E.
dc.creatorMartinez, D.
dc.date2001-09-18
dc.date.accessioned2026-07-07T03:17:32Z
dc.date.available2026-07-07T03:17:32Z
dc.descriptionSelectional preference learning methods have usually focused on word-to-class relations, e.g., a verb selects as its subject a given nominal class. This papers extends previous statistical models to class-to-class preferences, and presents a model that learns selectional preferences for classes of verbs. The motivation is twofold: different senses of a verb may have different preferences, and some classes of verbs can share preferences. The model is tested on a word sense disambiguation task which uses subject-verb and object-verb relationships extracted from a small sense-disambiguated corpus.
dc.identifierhttps://arxiv.org/abs/cs/0109029
dc.identifierhttp://arxiv.org/abs/cs/0109029
dc.identifierProceedings of the Workshop "Computational Natural Language Learning" (CoNLL-2001). In conjunction with ACL'2001/EACL'2001. Toulouse, France. 6-7th July 2001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30752
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleLearning class-to-class selectional preferences
dc.typetext

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