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 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,356 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010920878 |
| 5,069 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 6.28697e-05 |
| 5,680 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB | 6.0375644e-05 |
| 7,754 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB | 5.4574715e-05 |
| 9,587 | On Detecting Cherry-picked Generalizations | 2022 | VLDB | 5.154741e-05 |
| 10,201 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB | 5.0599411e-05 |
| 10,351 | Evergreen: Efficient Claim Verification for Semantic Aggregates | 2027 | VLDB | 4.9769913e-05 |
| 11,158 | Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | SIGMOD | 4.9769913e-05 |
| 11,905 | OREO: Detection of Cherry-picked Generalizations | 2022 | VLDB | 4.9769913e-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 |
|---|---|---|---|---|
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026541021 |
| 439 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018253425 |
| 536 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00016774383 |
| 2,479 | ClaimBuster: The First-ever End-to-end Fact-checking System | 2017 | VLDB | 8.405634e-05 |
| 3,172 | Toward Computational Fact-Checking | 2014 | VLDB | 7.5658423e-05 |
| 6,029 | Perturbation Analysis of Database Queries | 2016 | VLDB | 5.9085518e-05 |
| 12,468 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD | 4.9769913e-05 |
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| 4 | 11,650 | Demonstration of the VeriEQL Equivalence Checker for Complex SQL Queries | 2024 | VLDB |
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| 6 | 10,201 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB |
| 7 | 10,902 | Developing and Benchmarking Verification Algorithms to Improve Text-to-SQL Generation | 2026 | VLDB |
| 8 | 3,172 | Toward Computational Fact-Checking | 2014 | VLDB |
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| 10 | 7,754 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB |