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 cooccurrences, are presented and evaluated on datasets of human plausibility judgements. Compared to previously proposed techniques, these models perform very competitively, especially for infrequent ...

doi: 10.3969/j.issn.1002-0829.2012.02.010 National Center for Research on Evaluation, Standards, and Student Testing, University of California, Los Angeles, CA, USA *Correspondence: [email protected] A latent variable model, as the name suggests, is a statistical model that contains latent, that is, unobserved, variables. Their roots go back to Spearman’s 1904 seminal work on factor analysis, which...