Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li. CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 2983-3000, Association for Computational Linguistics, 2023. [doi]
@inproceedings{LiGFLMCLHL23,
title = {CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality},
author = {Liang Li and Ruiying Geng and Chengyang Fang and Bing Li and Can Ma and Rongyu Cao and Binhua Li and Fei Huang and Yongbin Li},
year = {2023},
url = {https://aclanthology.org/2023.acl-long.168},
researchr = {https://researchr.org/publication/LiGFLMCLHL23},
cites = {0},
citedby = {0},
pages = {2983-3000},
booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-72-2},
}