A parallel SRL algorithm based on synergetic neural network

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	A parallel SRL algorithm based on synergetic neural network
	Huang, Zhehuang ; Chen, Yidong ; Shi, Xiaodong ; Chen YD(陈毅东) ; Shi XD(史晓东)
刊名	http://dx.doi.org/10.4156/jcit.vol7.issue8.1
	2012
关键词	Computational linguistics Distributed computer systems Natural language processing systems Parallel algorithms Parallel architectures Semantics
英文摘要	Semantic role labeling (SRL) is a fundamental task in natural language processing to find a sentence-level representation. In this paper, a semantic role labeling algorithm based on synergetic neural network is proposed which can easily express useful global constraints. However, its computational complexity is relatively high that restricts its applications in real-time situation. We propose a parallel algorithm and implement it in distributed computing environments based on a local area network. Experimental results show that the parallel algorithm can reduce the run time and has a high speed up.
语种	英语
出版者	Advanced Institute of Convergence Information Technology
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92796]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Huang, Zhehuang,Chen, Yidong,Shi, Xiaodong,et al. A parallel SRL algorithm based on synergetic neural network[J]. http://dx.doi.org/10.4156/jcit.vol7.issue8.1,2012.
APA	Huang, Zhehuang,Chen, Yidong,Shi, Xiaodong,陈毅东,&史晓东.(2012).A parallel SRL algorithm based on synergetic neural network.http://dx.doi.org/10.4156/jcit.vol7.issue8.1.
MLA	Huang, Zhehuang,et al."A parallel SRL algorithm based on synergetic neural network".http://dx.doi.org/10.4156/jcit.vol7.issue8.1 (2012).