Institute of Computing Technology, Chinese Academy IR
Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link network | |
Cao, Mengyun1,2,3; Zhuge, Hai2,3,4 | |
2022-11-15 | |
发表期刊 | EXPERT SYSTEMS WITH APPLICATIONS |
ISSN | 0957-4174 |
卷号 | 206页码:21 |
摘要 | Automatic evaluation of summary is one of the basic problems of automatic text summarization research. The commonly used approaches evaluate the informativeness, conciseness and coherence of summary separately based on different representations with weak semantics such as n-gram and vector of words. By transforming text into semantic link network, this paper proposes a general framework for automatically evaluating summary from the following aspects: (1) fidelity, the extent of a summary that conveys the core of its source text; (2) conciseness, the extent of non-redundancy within summary and, (3) coherence, the extent of relatedness between representations within summary, which are based on a uniform semantic representation of text. Experiments on the evaluation of the summarization of scientific papers and news show that the proposed framework achieves comparable or higher correlations with human judgments than the popular evaluation models. This research also verifies the role of the semantic link network in representing and analysing texts. |
关键词 | Text Summarization Evaluation method Semantic link network Text modelling Nature language processing |
DOI | 10.1016/j.eswa.2022.117777 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Science Foundation of China[61876048] ; National Science Foundation of China[61640212] ; Jimei University ; International Research Network on Cyber-Physical-Social Intelligence based on Great Bay University ; Computing Technology at Chinese Academy of Sciences ; Aston University |
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:000832965100003 |
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/2XEOYT63/19477 |
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.JiMei Univ, Coll Comp Engn, Xiamen 360121, Peoples R China 2.Great Bay Univ, Lab Cyber Phys Social Intelligence, Dongguan 523808, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 4.Aston Univ, Lab Semant, Birmingham B4 7ET, W Midlands, England |
推荐引用方式 GB/T 7714 | Cao, Mengyun,Zhuge, Hai. Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link network[J]. EXPERT SYSTEMS WITH APPLICATIONS,2022,206:21. |
APA | Cao, Mengyun,&Zhuge, Hai.(2022).Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link network.EXPERT SYSTEMS WITH APPLICATIONS,206,21. |
MLA | Cao, Mengyun,et al."Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link network".EXPERT SYSTEMS WITH APPLICATIONS 206(2022):21. |
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