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 (Cornell University)
- 2. Immanuel Trummer (Cornell University)
- 3. Weicheng Yu (Cornell University)
- 4. Xuezhi Wang (Google)
- 5. Cong Yu (Google)
- 6. Daniel Liu (Cornell University)
- 7. Niyati Mehta (Cornell University)
BibTeX Citation
@inproceedings{jo_sigmod19,
title = {{Verifying Text Summaries of Relational Data Sets}},
author = {Jo, Saehan and Trummer, Immanuel and Yu, Weicheng and Wang, Xuezhi and Yu, Cong and Liu, Daniel and Mehta, Niyati},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300074},
url = {https://dl.acm.org/doi/10.1145/3299869.3300074},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,444 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010769944 |
| 4,963 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 6.4260475e-05 |
| 5,548 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB | 6.1790655e-05 |
| 7,633 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB | 5.5771082e-05 |
| 10,717 | Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | SIGMOD | 5.093636e-05 |
| 10,983 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB | 5.093636e-05 |
| 11,591 | OREO: Detection of Cherry-picked Generalizations | 2022 | VLDB | 5.093636e-05 |
| 11,617 | On Detecting Cherry-picked Generalizations | 2022 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 459 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018101318 |
| 555 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00016568053 |
| 2,428 | ClaimBuster: The First-ever End-to-end Fact-checking System | 2017 | VLDB | 8.5897309e-05 |
| 3,127 | Toward Computational Fact-Checking | 2014 | VLDB | 7.7308958e-05 |
| 5,937 | Perturbation Analysis of Database Queries | 2016 | VLDB | 6.0350628e-05 |
| 12,171 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,171 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD |
| 2 | 4,602 | Provenance for Natural Language Queries | 2017 | VLDB |
| 3 | 6,274 | DBMSs Should Talk Back Too | 2009 | CIDR |
| 4 | 6,267 | Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency | 2025 | SIGMOD |
| 5 | 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB |
| 6 | 11,326 | Demonstration of the VeriEQL Equivalence Checker for Complex SQL Queries | 2024 | VLDB |
| 7 | 10,983 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB |
| 8 | 3,127 | Toward Computational Fact-Checking | 2014 | VLDB |
| 9 | 4,963 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB |
| 10 | 7,633 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB |