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Automatic generation of related work through summarizing citations

文献类型：期刊论文

作者Hai Zhuge1,2,3,4; Chen, Jingqiang1,4
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版日期2019-02-10
卷号31期号:3页码:12
关键词citation related work generation Summarization
ISSN号1532-0626
DOI10.1002/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
WOS记录号WOS:000454928300005
出版者WILEY
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.

入库方式： OAI收割

来源：计算技术研究所

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