Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai. Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 1667-1681, Association for Computational Linguistics, 2022. [doi]
@inproceedings{SongCS22,
title = {Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness},
author = {Yun-Zhu Song and Yi-Syuan Chen and Hong-Han Shuai},
year = {2022},
url = {https://aclanthology.org/2022.naacl-main.120},
researchr = {https://researchr.org/publication/SongCS22},
cites = {0},
citedby = {0},
pages = {1667-1681},
booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
publisher = {Association for Computational Linguistics},
isbn = {978-1-955917-71-1},
}