Paper: Flexible Corpus-Based Modelling of Human Plausibility Judgements

ACL ID D07-1042
Title Flexible Corpus-Based Modelling of Human Plausibility Judgements
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

In this paper, we consider the computational modelling of human plausibility judgements for verb-relation-argument triples, a task equivalent to the computation of selectional preferences. Such models have applications both in psycholinguistics and in computa- tional linguistics. By extending a recent model, we obtain a completely corpus-driven model for this task which achieves significant correlations with human judgements. It rivals or exceeds deeper, resource-driven models while exhibit- ing higher coverage. Moreover, we show that our model can be combined with deeper mod- els to obtain better predictions than from ei- ther model alone.