QQ客服 官方微博 反馈留言

	A lightweight Chinese semantic dependency parsing model based on sentence compression
	Wang, Xin ; Sun, Weiwei ; Sui, Zhifang
	2010
英文摘要	This paper is concerned with lightweight semantic dependency parsing for Chinese. We propose a novel sentence compression based model for semantic dependency parsing without using any syntactic dependency information. Our model divides semantic dependency parsing into two sequential sub-tasks: sentence compression and semantic dependency recognition. Sentence compression method is used to get backbone information of the sentence, conveying candidate heads of arguments to the next step. The bilexical semantic relations between words in the compressed sentence and predicates are then recognized in a pairwise way. We present encouraging results on the Chinese data set from CoNLL 2009 shared task. Without any syntactic information, our semantic dependency parsing model still outperforms the best reported system in the literature. ?2010 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/NLPKE.2010.5587780
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/329797]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Xin,Sun, Weiwei,Sui, Zhifang. A lightweight Chinese semantic dependency parsing model based on sentence compression. 2010-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。