Paper: Joint Parsing And Semantic Role Labeling

ACL ID W05-0636
Title Joint Parsing And Semantic Role Labeling
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2005
Authors

A striking feature of human syntactic pro- cessing is that it is context-dependent, that is, it seems to take into account seman- tic information from the discourse con- text and world knowledge. In this paper, we attempt to use this insight to bridge the gap between SRL results from gold parses and from automatically-generated parses. To do this, we jointly perform parsing and semantic role labeling, using a probabilistic SRL system to rerank the results of a probabilistic parser. Our cur- rent results are negative, because a locally- trained SRL model can return inaccurate probability estimates.