Exploiting a verb lexicon in automatic semantic role labelling

Authors:
Robert S. Swier;Suzanne Stevenson
Affiliations:
University of Toronto, Toronto, Ontario, Canada;University of Toronto, Toronto, Ontario, Canada
Venue:
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Year:
2005

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Abstract

We develop an unsupervised semantic role labelling system that relies on the direct application of information in a predicate lexicon combined with a simple probability model. We demonstrate the usefulness of predicate lexicons for role labelling, as well as the feasibility of modifying an existing role-labelled corpus for evaluating a different set of semantic roles. We achieve a substantial improvement over an informed baseline.