Composing and Updating Verb Argument Expectations: A Distributional Semantic Model

@inproceedings{Lenci2011ComposingAU,
  title={Composing and Updating Verb Argument Expectations: A Distributional Semantic Model},
  author={Alessandro Lenci},
  booktitle={CMCL@ACL},
  year={2011}
}
The aim of this paper is to present a computational model of the dynamic composition and update of verb argument expectations using Distributional Memory, a state-of-the-art framework for distributional semantics. The experimental results conducted on psycholin-guistic data sets show that the model is able to successfully predict the changes on the patient argument thematic fit produced by different types of verb agents.