TURL: Table Understanding through Representation Learning
Summary: TURL pre-trains a structure-aware Transformer over Web tables using Masked Entity Recovery, learning contextual row-column representations. One universal model transfers via lightweight fine-tuning across six table-understanding tasks, outperforming heavily engineered task-specific methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiang Deng (Ohio State University)
- 2. Huan Sun (Ohio State University)
- 3. Alyssa Lees (Google)
- 4. You Wu (Google)
- 5. Cong Yu (Google)
BibTeX Citation
@article{deng_vldb21,
title = {{TURL: Table Understanding through Representation Learning}},
author = {Deng, Xiang and Sun, Huan and Lees, Alyssa and Wu, You and Yu, Cong},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {3},
pages = {307--319},
doi = {10.14778/3430915.3430921},
url = {https://doi.org/10.14778/3430915.3430921},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 58 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 89 | WebTables: Exploring the Power of Tables on the Web | 2008 | VLDB | 0.00035115118 |
| 134 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00030042569 |
| 316 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00021212425 |
| 367 | InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables | 2012 | SIGMOD | 0.00019876273 |
| 718 | Finding Related Tables | 2012 | SIGMOD | 0.00014526813 |
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