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ACL
2009

Prediction of Thematic Rank for Structured Semantic Role Labeling

8 years 11 months ago
Prediction of Thematic Rank for Structured Semantic Role Labeling
In Semantic Role Labeling (SRL), it is reasonable to globally assign semantic roles due to strong dependencies among arguments. Some relations between arguments significantly characterize the structural information of argument structure. In this paper, we concentrate on thematic hierarchy that is a rank relation restricting syntactic realization of arguments. A loglinear model is proposed to accurately identify thematic rank between two arguments. To import structural information, we employ re-ranking technique to incorporate thematic rank relations into local semantic role classification results. Experimental results show that automatic prediction of thematic hierarchy can help semantic role classification.
Weiwei Sun, Zhifang Sui, Meng Wang
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Weiwei Sun, Zhifang Sui, Meng Wang
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