AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets
Summary: AggChecker fact-checks natural-language numerical claims about relational data by translating them into semantically equivalent SQL queries. Combining NLP, retrieval, ML, and query processing, it flags errors and suggests corrections more efficiently than direct SQL. (summarized by gpt-5.6-luna on Jul 24 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
@article{jo_vldb19,
title = {{AggChecker: A Fact-Checking System for 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},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1938--1941},
doi = {10.14778/3352063.3352104},
url = {https://doi.org/10.14778/3352063.3352104},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,429 | Analyzing Deviations from Monotonic Trends through Database Repair | 2026 | SIGMOD | 5.093636e-05 |
| 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | 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 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
| 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 6.3730257e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,350 | Automating Large-Scale Data Quality Verification | 2018 | VLDB |
| 2 | 12,171 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD |
| 3 | 10,499 | SchemaRAG: A Schema-aware Retrieval-Augmented Generation Framework for Text-to-SQL | 2026 | SIGMOD |
| 4 | 11,326 | Demonstration of the VeriEQL Equivalence Checker for Complex SQL Queries | 2024 | VLDB |
| 5 | 11,617 | On Detecting Cherry-picked Generalizations | 2022 | VLDB |
| 6 | 4,886 | Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs | 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 | 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD |