Paper: Exploiting A Verb Lexicon In Automatic Semantic Role Labelling

ACL ID H05-1111
Title Exploiting A Verb Lexicon In Automatic Semantic Role Labelling
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

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