Query-focused Summarization
Query-Focused Summarization is a type of text summarization that generates a concise summary tailored to a specific user query by selecting and emphasizing content from the source documents that is most relevant to the given query.
148
Publications
7K
Citations
359
Authors
162
Institutions
Publications per year
2017–2026
48
148
A Class of Submodular Functions for Document Summarization
Hui Lin, Jeff Bilmes · 2011 · 639 citations
Bayesian query-focused summarization
Hal Daumé, Daniel Marcu · 2006 · 264 citations · Full text
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Ming Zhong, Da Yin, Tao Yu et al. · 2021 · 167 citations · Full text
Applying regression models to query-focused multi-document summarization
You Ouyang, Wenjie Li, Sujian Li et al. · Information Processing & Management · 2010 · 165 citations
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162

Hong Kong Polytechnic University
Hong Kong, Hong Kong
11 h-index
25 publications
1.6K citations

University of Glasgow
Glasgow, United Kingdom
6 h-index
11 publications
835 citations
IBM (United States)
Armonk, United States
6 h-index
14 publications
634 citations

Peking University
Beijing, China
5 h-index
9 publications
420 citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
10 publications
310 citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
9 publications
309 citations
Wuhan University
Wuhan, China
5 h-index
14 publications
621 citations

University of Lethbridge
Lethbridge, Canada
4 h-index
7 publications
214 citations
1–8 of 162
Repository · 10 publications · 478 citations
10
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4 publications · 149 citations
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Conference · 4 publications · 153 citations
4
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4 publications · 402 citations
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4 publications · 199 citations
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