TURL: Table Understanding through Representation Learning
Summary: TURL pre-trains on relational Web tables using a structure-aware Transformer and a Masked Entity Recovery objective for unsupervised representation learning. The universal model adapts to multiple tasks (relation extraction, cell filling) with minimal fine-tuning, outperforming prior methods on 6 benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiang Deng
- 2. Huan Sun
- 3. Alyssa Lees
- 4. You Wu
- 5. Cong Yu
Incoming Citations (Sorted by Pagerank)
Showing 5 of 55 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,057 | Enriching Relations with Additional Attributes for ER | 2024 | VLDB | 4.1905499e-05 |
| 11,066 | Searching Data Lakes for Nested and Joined Data | 2024 | VLDB | 4.1905499e-05 |
| 11,100 | Navigating Data Repositories: Utilizing Line Charts to Discover Relevant Datasets | 2024 | VLDB | 4.1905499e-05 |
| 11,140 | Generalizable Data Cleaning of Tabular Data in Latent Space | 2024 | VLDB | 4.1905499e-05 |
| 11,207 | Steered Training Data Generation for Learned Semantic Type Detection | 2023 | SIGMOD | 4.1905499e-05 |
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 |
|---|---|---|---|---|
| 108 | WebTables: Exploring the Power of Tables on the Web | 2008 | VLDB | 0.00048345996 |
| 219 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033354456 |
| 365 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00025616694 |
| 420 | InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables | 2012 | SIGMOD | 0.00023700634 |
| 814 | Finding Related Tables | 2012 | SIGMOD | 0.00016298739 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,370 | Answering Table Queries on the Web using Column Keywords | 2012 | VLDB | 0.00012339543 |
| 6,071 | Observatory: Characterizing Embeddings of Relational Tables | 2024 | VLDB | 5.2231739e-05 |
| 7,423 | Table Extraction and Understanding for Scientific and Enterprise Applications | 2020 | VLDB | 4.729385e-05 |
| 1,005 | Recovering Semantics of Tables on the Web | 2011 | VLDB | 0.00014694038 |
| 3,520 | GitTables: A Large-Scale Corpus of Relational Tables | 2023 | SIGMOD | 7.0136102e-05 |
| 1,585 | Answering Table Augmentation Queries from Unstructured Lists on the Web | 2009 | VLDB | 0.00011245609 |
| 8,915 | Making Table Understanding Work in Practice | 2022 | CIDR | 4.4229886e-05 |
| 365 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00025616694 |
| 10,109 | Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations | 2026 | SIGMOD | 4.1905499e-05 |
| 5,457 | Transformers for Tabular Data Representation: A Tutorial on Models and Applications | 2022 | VLDB | 5.4960654e-05 |