Generating survey draft based on closeness of position distributions of key words

doi:10.1016/j.eswa.2023.121422

	Generating survey draft based on closeness of position distributions of key words
	Sun, Xiaoping 1; Zhuge, Hai 2
	2024-03-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	237 页码:18
摘要	Automatically generating a survey draft is a challenge to text summarization research because it needs to select important sentences from important references in a large set of candidate papers for composing sections that are in line with section titles and different sections discuss the most relevant reference papers of different number, which are beyond the capability of previous text summarization approaches as they assume that all candidate papers should be included into one summary. This paper proposes an approach to generating survey draft according to a pattern consisting of sections with titles given by the user who requests the survey. The problem of generating each section can be divided into the following sub-problems: (1) rank the input scientific documents (in short documents) according to the title of a section, (2) determine the number of documents that are most relevant to the title, and (3) rank and select sentences from the selected documents according to the title. A position closeness distance of key word is proposed to rank a set of documents by measuring how closely two key words within section title are distributed within each document, which is used to rank the documents. The rationale is that the positions of the neighboring key words of a section title should be closer in more relevant documents than other words. As different sections have different number of selected documents, a method is proposed to determine the number of documents to be included into the current section based on the slope shape of the sorted rank curve of documents according to the section title. Based on the duality property of the closeness, ranks of sentences within a document can be directly obtained when the document is ranked according to the title of section, and both the importance and coherence of selected sentences can be reflected without extra calculation for ranking sentences. Experiments and manual evaluation show that the proposed methods achieve significant improvements compared with other approaches. The proposed approach is significant in applications as different surveys can be generated according to different patterns given by different users.
关键词	Survey generation Closeness Position distribution Paper ranking Sentence ranking
DOI	10.1016/j.eswa.2023.121422
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61876048]
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:001300570100001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39612
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhuge, Hai
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing, Peoples R China 2.Great Bay Univ, Sch Comp & Informat Technol, Dongguan, Peoples R China
推荐引用方式 GB/T 7714	Sun, Xiaoping,Zhuge, Hai. Generating survey draft based on closeness of position distributions of key words[J]. EXPERT SYSTEMS WITH APPLICATIONS,2024,237:18.
APA	Sun, Xiaoping,&Zhuge, Hai.(2024).Generating survey draft based on closeness of position distributions of key words.EXPERT SYSTEMS WITH APPLICATIONS,237,18.
MLA	Sun, Xiaoping,et al."Generating survey draft based on closeness of position distributions of key words".EXPERT SYSTEMS WITH APPLICATIONS 237(2024):18.