S. Pado and U. Pado and K. Erk: Flexible, Corpus-Based Modelling of Human Plausibility Judgements. Proceedings of EMNLP/CoNLL-07, Prague.
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 computational 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 exhibiting higher coverage. Moreover, we show that our model can be combined with deeper models to obtain better predictions than from either model alone.
@InProceedings{pado07_flexible,
author = {Sebastian Pado and Ulrike Pado and Katrin Erk},
title = {Flexible, Corpus-Based Modelling of Human Plausibility Judgements},
booktitle = {Proceedings of EMNLP/CoNLL 2007},
year = 2007,
address = {Prague, Czech Republic}
}