Paper: Semantic Role Labeling Using Complete Syntactic Analysis

ACL ID W05-0635
Title Semantic Role Labeling Using Complete Syntactic Analysis
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2005
Authors

In this paper we introduce a semantic role labeling system constructed on top of the full syntactic analysis of text. The la- beling problem is modeled using a rich set of lexical, syntactic, and semantic at- tributes and learned using one-versus-all AdaBoost classifiers. Our results indicate that even a simple ap- proach that assumes that each semantic ar- gument maps into exactly one syntactic phrase obtains encouraging performance, surpassing the best system that uses par- tial syntax by almost 6%.