Summarization
Summarization is a data abstraction technique that distills essential information from a source document or dataset by preserving core meaning while reducing redundancy, distinguishing it from other abstraction methods through its focus on conciseness and representativeness.
4.2K
Publications
291.7K
Citations
9.1K
Authors
1.9K
Institutions
Publications per year
2017–2026
1.9K
Parents
4.2K
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
The Automatic Creation of Literature Abstracts
H. P. Luhn · IBM Journal of Research and Development · 1958 · 3.2K citations
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Peking University
Beijing, China
43 h-index
221 publications
14.3K citations
Columbia University
New York, United States
41 h-index
159 publications
14.1K citations
Carnegie Mellon University
Pittsburgh, United States
41 h-index
203 publications
22.4K citations
Microsoft Research Asia (China)
Beijing, China
38 h-index
121 publications
16.7K citations

Chinese Academy of Sciences
Beijing, China
35 h-index
185 publications
9.8K citations
Google (United States)
Mountain View, United States
35 h-index
162 publications
13K citations
Microsoft (United States)
Redmond, United States
34 h-index
122 publications
14.1K citations
IBM (United States)
Armonk, United States
32 h-index
110 publications
12K citations
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Repository · 257 publications · 16.8K citations
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Conference · 72 publications · 4.4K citations
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50 publications · 5K citations
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40 publications · 2.8K citations
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TKDE · 30 publications · 1.6K citations
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