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.
@InProceedings{OSeaghdha:10,
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}
}