Learning class-to-class selectional preferences
<|reference_start|>Learning class-to-class selectional preferences: 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 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.<|reference_end|>
@article{agirre2001learning,
    title={Learning class-to-class selectional preferences},
    author={E. Agirre, D. Martinez},
    journal={Proceedings of the Workshop "Computational Natural Language
  Learning" (CoNLL-2001). In conjunction with ACL'2001/EACL'2001. Toulouse,
  France. 6-7th July 2001},
    year={2001},
    archivePrefix={arXiv},
    eprint={cs/0109029},
    primaryClass={cs.CL}
}