Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu


Anthology ID:
2022.coling-1.118
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Editors:
Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
1379–1390
Language:
URL:
https://aclanthology.org/2022.coling-1.118
DOI:
Bibkey:
Cite (ACL):
Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, and Kang Liu. 2022. Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. In Proceedings of the 29th International Conference on Computational Linguistics, pages 1379–1390, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder (Lei et al., COLING 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl24-info/2022.coling-1.118.pdf
Code
 lfy79001/reghnt
Data
HybridQATAT-QA