Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua. TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. pages 3277-3287, Association for Computational Linguistics, 2021. [doi]
@inproceedings{ZhuLHWZLFC20,
title = {TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance},
author = {Fengbin Zhu and Wenqiang Lei and Youcheng Huang and Chao Wang and Shuo Zhang and Jiancheng Lv and Fuli Feng and Tat-Seng Chua},
year = {2021},
url = {https://aclanthology.org/2021.acl-long.254},
researchr = {https://researchr.org/publication/ZhuLHWZLFC20},
cites = {0},
citedby = {0},
pages = {3277-3287},
booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021},
editor = {Chengqing Zong and Fei Xia and Wenjie Li 0002 and Roberto Navigli},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-52-7},
}