Verifying Text Summaries of Relational Data Sets
Summary: AggChecker is a natural-language claim verifier for relational data summaries, mapping text claims to SQL translations with probabilistic correctness scores. A holistic model plus efficient candidate pruning, query merging, and result caching enables interactive verification that surfaces inconsistencies and beats baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Saehan Jo
- 2. Immanuel Trummer
- 3. Weicheng Yu
- 4. Xuezhi Wang
- 5. Cong Yu
- 6. Daniel Liu
- 7. Niyati Mehta
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,732 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010732004 |
| 4,816 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 5.900769e-05 |
| 5,412 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB | 5.5207515e-05 |
| 7,731 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB | 4.6658615e-05 |
| 10,436 | Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | SIGMOD | 4.1945683e-05 |
| 10,747 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB | 4.1945683e-05 |
| 11,393 | OREO: Detection of Cherry-picked Generalizations | 2022 | VLDB | 4.1945683e-05 |
| 11,419 | On Detecting Cherry-picked Generalizations | 2022 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 206 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00034667032 |
| 535 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00020727678 |
| 567 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00019966681 |
| 2,509 | ClaimBuster: The First-ever End-to-end Fact-checking System | 2017 | VLDB | 8.6260643e-05 |
| 3,340 | Toward Computational Fact-Checking | 2014 | VLDB | 7.2030091e-05 |
| 5,934 | Perturbation Analysis of Database Queries | 2016 | VLDB | 5.266698e-05 |
| 11,973 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD | 4.1945683e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,648 | User Guidance for Efficient Fact Checking | 2019 | VLDB | 4.6889787e-05 |
| 4,851 | Provenance for Natural Language Queries | 2017 | VLDB | 5.8768322e-05 |
| 6,371 | DBMSs Should Talk Back Too | 2009 | CIDR | 5.0930594e-05 |
| 7,139 | Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency | 2025 | SIGMOD | 4.821174e-05 |
| 10,740 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 4.1945683e-05 |
| 11,120 | Demonstration of the VeriEQL Equivalence Checker for Complex SQL Queries | 2024 | VLDB | 4.1945683e-05 |
| 10,747 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB | 4.1945683e-05 |
| 3,340 | Toward Computational Fact-Checking | 2014 | VLDB | 7.2030091e-05 |
| 4,816 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 5.900769e-05 |
| 7,731 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB | 4.6658615e-05 |