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Learning Transformation Rules for Semantic Role Labeling
2004
Conference on Computational Natural Language Learning
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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 F 1 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.
dblp:conf/conll/WilliamsDM04
fatcat:gj3p4ua6jvh5flroxx6jigxv5m