SKT5SciSumm - Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization

Huy Quoc To, Ming Liu, Guangyan Huang, Hung-Nghiep Tran, André Greiner-Petter, Felix Beierle, Akiko Aizawa


Anthology ID:
2024.paclic-1.8
Volume:
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2024
Address:
Tokyo, Japan
Editors:
Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
Venue:
PACLIC
SIG:
Publisher:
Tokyo University of Foreign Studies
Note:
Pages:
82–93
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.8/
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Bibkey:
Cite (ACL):
Huy Quoc To, Ming Liu, Guangyan Huang, Hung-Nghiep Tran, André Greiner-Petter, Felix Beierle, and Akiko Aizawa. 2024. SKT5SciSumm - Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 82–93, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):
SKT5SciSumm - Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization (To et al., PACLIC 2024)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.8.pdf