Text Summarization
Text Summarization is a computational task within the broader domain of natural language processing that involves automatically generating a concise and coherent representation of the most salient information from one or more source texts while preserving essential meaning and structure.
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2017–2026
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6.2K
ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin · 2004 · 8.3K citations
Mining and summarizing customer reviews
Minqing Hu, Bing Liu · 2004 · 7.7K citations
Toward a model of text comprehension and production.
Walter Kintsch, Teun A. van Dijk · Psychological Review · 1978 · 5K citations
Hierarchical Attention Networks for Document Classification
Zichao Yang, Diyi Yang, Chris Dyer et al. · 2016 · 4.8K citations · Full text
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Columbia University
New York, United States
56 h-index
294 publications
27.3K citations

Peking University
Beijing, China
52 h-index
379 publications
24.9K citations
Carnegie Mellon University
Pittsburgh, United States
50 h-index
339 publications
52.9K citations

University of Edinburgh
Edinburgh, United Kingdom
44 h-index
201 publications
21.7K citations
Microsoft (United States)
Redmond, United States
44 h-index
195 publications
21.5K citations
Google (United States)
Mountain View, United States
41 h-index
253 publications
22.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
40 h-index
191 publications
19.2K citations
University of Michigan
Ann Arbor, United States
40 h-index
141 publications
17K citations
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Repository · 446 publications · 38.4K citations
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85 publications · 7.6K citations
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82 publications · 6.2K citations
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Conference · 113 publications · 6.4K citations
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52 publications · 1.9K citations
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