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	Prediction of thematic rank for structured Semantic Role Labeling
	Sun, Weiwei ; Sui, Zhifang ; Wang, Meng
	2009
英文摘要	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. ? 2009 ACL and AFNLP.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/327466]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Sun, Weiwei,Sui, Zhifang,Wang, Meng. Prediction of thematic rank for structured Semantic Role Labeling. 2009-01-01.

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