Incorporating External Knowledge to Enhance Tabular Reasoning

J. Neeraja, Vivek Gupta, Vivek Srikumar


Abstract
Reasoning about tabular information presents unique challenges to modern NLP approaches which largely rely on pre-trained contextualized embeddings of text. In this paper, we study these challenges through the problem of tabular natural language inference. We propose easy and effective modifications to how information is presented to a model for this task. We show via systematic experiments that these strategies substantially improve tabular inference performance.
Anthology ID:
2021.naacl-main.224
Volume:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2021
Address:
Online
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2799–2809
Language:
URL:
https://aclanthology.org/2021.naacl-main.224
DOI:
10.18653/v1/2021.naacl-main.224
Bibkey:
Cite (ACL):
J. Neeraja, Vivek Gupta, and Vivek Srikumar. 2021. Incorporating External Knowledge to Enhance Tabular Reasoning. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2799–2809, Online. Association for Computational Linguistics.
Cite (Informal):
Incorporating External Knowledge to Enhance Tabular Reasoning (Neeraja et al., NAACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.naacl-main.224.pdf
Video:
 https://aclanthology.org/2021.naacl-main.224.mp4
Code
 utahnlp/knowledge_infotabs
Data
InfoTabSMultiNLITabFact