Wanjun Zhong, YiFan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou 0001, Jiahai Wang, Jian Yin 0001, Nan Duan. ProQA: Structural Prompt-based Pre-training for Unified Question Answering. 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 4230-4243, Association for Computational Linguistics, 2022. [doi]
@inproceedings{ZhongGDQL0W0D22,
title = {ProQA: Structural Prompt-based Pre-training for Unified Question Answering},
author = {Wanjun Zhong and YiFan Gao and Ning Ding and Yujia Qin and Zhiyuan Liu and Ming Zhou 0001 and Jiahai Wang and Jian Yin 0001 and Nan Duan},
year = {2022},
url = {https://aclanthology.org/2022.naacl-main.313},
researchr = {https://researchr.org/publication/ZhongGDQL0W0D22},
cites = {0},
citedby = {0},
pages = {4230-4243},
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},
}