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EMNLP
2007

Flexible, Corpus-Based Modelling of Human Plausibility Judgements

9 years 2 months ago
Flexible, Corpus-Based Modelling of Human Plausibility Judgements
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.
Sebastian Padó, Ulrike Padó, Katrin
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Sebastian Padó, Ulrike Padó, Katrin Erk
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