Automatic generation of related work through summarizing citations

doi:10.1002/cpe.4261

	Automatic generation of related work through summarizing citations
	Chen, Jingqiang 1,4; Hai Zhuge 1,2,3,4
	2019-02-10
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN	1532-0626
卷号	31 期号:3 页码:12
摘要	Related work is a component of a scientific paper, which introduces other researchers' relevant works and makes comparisons with the current author's work. Automatically generating the related work section of a writing paper provides a tool for researchers to accomplish the related work section efficiently without missing related works. This paper proposes an approach to automatically generating a related work section by comparing the main text of the paper being written with the citations of other papers that cite the same references. Our approach first collects the papers that cite the reference papers of the paper being written and extracts the corresponding citation sentences to form a citation document. It then extracts keywords from the citation document and the paper being written and constructs a graph of the keywords. Once the keywords that discriminate the two documents are determined, the minimum Steiner tree that covers the discriminative keywords and the topic keywords is generated. The summary is generated by extracting the sentences covering the Steiner tree. According to ROUGE evaluations, the experiments show that the citations are suitable for related work generation and our approach outperforms the three baseline methods of MEAD, LexRank, and ReWoS. This work verifies the general summarization method based on connotation and extension through citation.
关键词	citation related work generation Summarization
DOI	10.1002/cpe.4261
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of Jiangsu Province[BK20150862] ; Natural Science Foundation of Jiangsu Province[BK20140895] ; National Science Foundation of China[61640212] ; National Science Foundation of China[61602256] ; Scientific Research Foundation of Nanjing University of Posts and Telecommunications[NY215121]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000454928300005
出版者	WILEY
引用统计	被引频次：19[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/3491
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chen, Jingqiang; Hai Zhuge
作者单位	1.Nanjing Univ Posts & Telecommun, Nanjing, Jiangsu, Peoples R China 2.Guangzhou Univ, Guangzhou, Guangdong, Peoples R China 3.Aston Univ, Birmingham, W Midlands, England 4.Univ Chinese Acad Sci, Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Jingqiang,Hai Zhuge. Automatic generation of related work through summarizing citations[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2019,31(3):12.
APA	Chen, Jingqiang,&Hai Zhuge.(2019).Automatic generation of related work through summarizing citations.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,31(3),12.
MLA	Chen, Jingqiang,et al."Automatic generation of related work through summarizing citations".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 31.3(2019):12.