Learning Transformation Rules for Semantic Role Labeling
Ken Williams, Christopher Dozier, J. Andrew McCulloh · Conference on Computational Natural Language Learning · 2004
This paper presents our work on Semantic Role Labeling using a Transformation-Based ErrorDriven 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 transformation rules as its output.