Content Summarization
Content Summarization is a computational process that belongs to the genus of content prioritization methods, differing by its specific function of distilling the most salient information from source content into a concise and coherent representation while preserving essential meaning.
105
Publications
5.8K
Citations
350
Authors
161
Institutions
Publications per year
2017–2026
33
Parents
105
A trainable document summarizer
Julian Kupiec, Jan Pedersen, Francine Chen · 1995 · 1.3K citations · Full text
Auto-summarization of audio-video presentations
Li-wei He, Elizabeth Sanocki, Anoop Gupta et al. · 1999 · 222 citations · Full text
A machine learning based approach for table detection on the web
Yalin Wang, Jianying Hu · 2002 · 201 citations
When Location Meets Social Multimedia
Rongrong Ji, Yue Gao, Wei Liu et al. · ACM Transactions on Intelligent Systems and Technology · 2015 · 181 citations
Computing, Geoinformatics, Geographic Information Science +16
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161

Chinese Academy of Sciences
Beijing, China
6 h-index
13 publications
807 citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
9 publications
610 citations
National University of Singapore
Singapore, Singapore
5 h-index
10 publications
657 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
3 h-index
5 publications
128 citations
Columbia University
New York, United States
3 h-index
4 publications
145 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
664 citations

University of Colorado Colorado Springs
Colorado Springs, United States
2 h-index
5 publications
517 citations
Seoul National University
Seoul, South Korea
2 h-index
7 publications
268 citations
1–8 of 161
4 publications · 381 citations
4
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4 publications · 80 citations
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4 publications · 446 citations
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3 publications · 63 citations
3
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TOMCCAP · 2 publications · 111 citations
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1–5