Computer Laboratory

Diarmuid Ó Séaghdha

Latent variable models of selectional preference


Diarmuid Ó Séaghdha

This paper describes the application of so-called topic models to selectional preference induction. Three models related to Latent Dirichlet Allocation, a proven method for modelling document-word co-occurrences, are presented and evaluated on datasets of human plausibility judgements. Compared to previously proposed techniques, these models perform very competitively, especially for infrequent predicate-argument combinations where they exceed the quality of Web-scale predictions while using relatively little data.

  author = 	 {Diarmuid {\'O S\'eaghdha}},
  title = 	 {Latent variable models of selectional preference},
  booktitle = 	 {Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-10)},
  year =	 2010,
  address =	 {Uppsala, Sweden}