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Computer Science > Information Retrieval

arXiv:2109.07323 (cs)
[Submitted on 15 Sep 2021 (v1), last revised 26 Mar 2022 (this version, v2)]

Title:FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining

Authors:Zhoujun Cheng, Haoyu Dong, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang
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Abstract:Tables store rich numerical data, but numerical reasoning over tables is still a challenge. In this paper, we find that the spreadsheet formula, which performs calculations on numerical values in tables, is naturally a strong supervision of numerical reasoning. More importantly, large amounts of spreadsheets with expert-made formulae are available on the web and can be obtained easily. FORTAP is the first method for numerical-reasoning-aware table pretraining by leveraging large corpus of spreadsheet formulae. We design two formula pretraining tasks to explicitly guide FORTAP to learn numerical reference and calculation in semi-structured tables. FORTAP achieves state-of-the-art results on two representative downstream tasks, cell type classification and formula prediction, showing great potential of numerical-reasoning-aware pretraining.
Comments: Accepted by ACL'22 main track
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
Cite as: arXiv:2109.07323 [cs.IR]
  (or arXiv:2109.07323v2 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2109.07323

Submission history

From: Haoyu Dong [view email]
[v1] Wed, 15 Sep 2021 14:31:17 UTC (661 KB)
[v2] Sat, 26 Mar 2022 01:18:36 UTC (4,667 KB)
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