Automatic generation of related work through summarizing citations

doi:10.1002/cpe.4261

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Automatic generation of related work through summarizing citations
	Hai Zhuge 1,2,3,4; Chen, Jingqiang 1,4
刊名	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
	2019-02-10
卷号	31 期号:3 页码:12
关键词	citation related work generation Summarization
ISSN号	1532-0626
DOI	10.1002/cpe.4261
英文摘要	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.
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
语种	英语
出版者	WILEY
WOS记录号	WOS:000454928300005
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/3490]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Hai Zhuge; Chen, Jingqiang
作者单位	1.Univ Chinese Acad Sci, Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 2.Aston Univ, Birmingham, W Midlands, England 3.Guangzhou Univ, Guangzhou, Guangdong, Peoples R China 4.Nanjing Univ Posts & Telecommun, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Hai Zhuge,Chen, Jingqiang. Automatic generation of related work through summarizing citations[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2019,31(3):12.
APA	Hai Zhuge,&Chen, Jingqiang.(2019).Automatic generation of related work through summarizing citations.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,31(3),12.
MLA	Hai Zhuge,et al."Automatic generation of related work through summarizing citations".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 31.3(2019):12.