Paper: Learning Transformation Rules For Semantic Role Labeling

ACL ID W04-2422
Title Learning Transformation Rules For Semantic Role Labeling
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2004
Authors

This paper presents our work on Semantic Role Labeling using a Transformation-Based Error- Driven approach in the style of Eric Brill (Brill, 1995). Our approach achieved an overall F1 score of 43.48 on non-verb annotations. We believe our approach is noteworthy because of its novelty in this area and because it produces short lists of human-understandable transfor- mation rules as its output.