Single-document Summarization
Single-Document Summarization is a subtask of text summarization that involves generating a concise and coherent summary from a single source document, distinguishing it from multi-document approaches by focusing exclusively on content derived from one individual text.
215
Publications
14.9K
Citations
502
Authors
194
Institutions
Publications per year
2017–2026
86
215
Automatic text summarization: A comprehensive survey
Wafaa S. El-Kassas, Cherif Salama, Ahmed Rafea et al. · Expert Systems with Applications · 2020 · 795 citations
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng, Mirella Lapata · 2016 · 753 citations · Full text
Multi-document summarization by sentence extraction
Jade Goldstein, Vibhu O. Mittal, Jaime Carbonell et al. · 2000 · 357 citations · Full text
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194

Peking University
Beijing, China
9 h-index
21 publications
1.4K citations

University of Edinburgh
Edinburgh, United Kingdom
8 h-index
16 publications
6.5K citations
University of Southern California
Los Angeles, United States
5 h-index
7 publications
763 citations

University of Alicante
Alicante, Spain
4 h-index
12 publications
199 citations

Yarmouk University
Irbid, Jordan
4 h-index
7 publications
239 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
1.1K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
6 publications
450 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
5 publications
272 citations
1–8 of 194
Repository · 11 publications · 487 citations
11
h-index
5 publications · 213 citations
5
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4 publications · 1K citations
4
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3 publications · 91 citations
3
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Conference · 3 publications · 61 citations
3
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