Topic-guided Summarization
Topic-Guided Summarization is a text summarization approach that generates concise summaries by explicitly incorporating user-specified or model-identified topics to guide the selection and emphasis of content, thereby distinguishing it from general or extractive summarization methods that do not prioritize topical alignment.
146
Publications
7.3K
Citations
416
Authors
161
Institutions
Publications per year
2017–2026
49
Parents
146
Automated Text Summarization in SUMMARIST
Eduard Hovy, Chin-Yew Lin · 1997 · 310 citations
Automatic Analysis, Theme Generation, and Summarization of Machine-Readable Texts
Gerard Salton, James Allan, Chris Buckley et al. · Science · 1994 · 270 citations
Temporal summaries of new topics
James Allan, Rahul Gupta, Vikas Khandelwal · 2001 · 256 citations
1–5 of 146
416
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Indian Institute of Information Technology Design and Manufacturing Jabalpur, India
3 publications · 159 citations
3
h-index
1–5 of 416
161

Peking University
Beijing, China
9 h-index
18 publications
1.1K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
14 publications
520 citations

Beijing Institute of Technology
Beijing, China
5 h-index
19 publications
377 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
17 publications
631 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
12 publications
251 citations
National University of Singapore
Singapore, Singapore
4 h-index
13 publications
426 citations

Azerbaijan National Academy of Sciences
Baku, Azerbaijan
3 h-index
7 publications
146 citations
University of California, Riverside
Riverside, United States
3 h-index
6 publications
206 citations
1–8 of 161
5 publications · 318 citations
5
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Repository · 4 publications · 83 citations
4
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Conference · 4 publications · 109 citations
4
h-index
3 publications · 133 citations
3
h-index
2 publications · 104 citations
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1–5