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TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance [article]

Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua
2021 arXiv   pre-print
Hybrid data combining both tabular and textual content (e.g., financial reports) are quite pervasive in the real world.  ...  It is demonstrated that our TAT-QA is very challenging and can serve as a benchmark for training and testing powerful QA models that address hybrid form data.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.  ... 
arXiv:2105.07624v2 fatcat:sakevdvefvbbzhwx4ng7nyyjkq

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua
2021 Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)   unpublished
Hybrid data combining both tabular and textual content (e.g., financial reports) are quite pervasive in the real world.  ...  It demonstrates that our TAT-QA is very challenging and can serve as a benchmark for training and testing powerful QA models that address hybrid data.  ...  Acknowledgments The authors gratefully acknowledge Zhuyun Dai for giving valuable suggestions on this study, Xinnan Zhang for developing the data annotation tool, and Tong Ye and Ming Wei Chan for their  ... 
doi:10.18653/v1/2021.acl-long.254 fatcat:f7awmn5pozds5hifewyuus5ehi

Multi-Instance Training for Question Answering Across Table and Linked Text [article]

Vishwajeet Kumar, Saneem Chemmengath, Yash Gupta, Jaydeep Sen, Samarth Bharadwaj, Soumen Chakrabarti
2021 arXiv   pre-print
Often, a question is best answered by matching its parts to either table cell contents or unstructured text spans, and extracting answers from either source.  ...  To reduce cognitive burden, training instances usually include just the question and answer, the latter matching multiple table rows and text passages.  ...  Unlike HybridQA and OTT-QA, which were open-domain, TAT-QA is specifically focused on finance and needs numerical reasoning for question answering over tabular numbers and associated text.  ... 
arXiv:2112.07337v1 fatcat:nqbhzovaqvg6pbvlvkwp3tmbti