Discourse-aware Summarization
Discourse-Aware Summarization is a text summarization approach that incorporates discourse structure and relations among text segments to guide the selection and organization of content, thereby preserving higher-level coherence and thematic progression in the summary.
39
Publications
1.8K
Citations
91
Authors
44
Institutions
Publications per year
2017–2026
17
Parents
39
Discourse-Aware Neural Extractive Text Summarization
Jiacheng Xu, Zhe Gan, Yu Cheng · 2020 · 265 citations · Full text
A noisy-channel model for document compression
Hal Daumé, Daniel Marcu · 2001 · 92 citations · Full text
Language Studies, Computer Science, Computational Linguistics +15
Incorporating speaker and discourse features into speech summarization
Gabriel Murray, Steve Renals, Jean Carletta et al. · 2006 · 91 citations · Full text
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Microsoft (United States)
Redmond, United States
3 h-index
6 publications
682 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
6 publications
522 citations
Georgetown University
Washington, United States
3 h-index
6 publications
402 citations
The University of Texas at Austin
Austin, United States
3 h-index
3 publications
295 citations
Marina Del Rey Hospital
Marina del Rey, United States
2 h-index
3 publications
197 citations

University of British Columbia
Vancouver, Canada
2 h-index
6 publications
81 citations
University of Southern California
Los Angeles, United States
2 h-index
3 publications
197 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
190 citations
1–8 of 44
Repository · 4 publications · 66 citations
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TASLP · 1 publications · 11 citations
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Repository · 1 publications · 69 citations
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Conference · 1 publications · 18 citations
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1 publications · 76 citations
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