Hybrid Summarization
Hybrid Summarization is a text summarization approach that combines both extractive and abstractive methods within a unified framework to leverage the strengths of each in generating concise and accurate summaries.
83
Publications
3.8K
Citations
279
Authors
130
Institutions
Publications per year
2017–2026
40
Parents
83
The challenges of automatic summarization
Udo Hahn, Inderjeet Mani · Computer · 2000 · 352 citations
Toshihisa Ohtsuka, Etsuko Takao‐Rikitsu, Eiji Inoue et al. · The Journal of Cell Biology · 2002 · 299 citations · Full text
Michihiro Yasunaga, Jungo Kasai, Rui Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 183 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
194 citations
Northwest A&F University
Yangling, China
2 h-index
4 publications
192 citations

Yarmouk University
Irbid, Jordan
2 h-index
4 publications
198 citations

Amrita Vishwa Vidyapeetham
Coimbatore, India
2 h-index
5 publications
83 citations

Zhejiang University
Hangzhou, China
2 h-index
2 publications
98 citations
Helwan University
Cairo, Egypt
2 h-index
2 publications
123 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
83 citations

Peking University
Beijing, China
2 h-index
4 publications
530 citations
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Conference · 4 publications · 267 citations
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3 publications · 116 citations
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Repository · 3 publications · 236 citations
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2 publications · 113 citations
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2 publications · 60 citations
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