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AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets

Summary: AggChecker verifies NL claims about relational data by translating each claim into SQL and evaluating it against the data. Fusing NLP, IR, ML, and efficient query processing, it acts as a spellchecker for data summaries with faster verification than SQL alone. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11905
Venue
VLDB
Year
2019
Pagerank
4.6658615e-05
Overall Rank
7,731 | 46.22%
DOI
10.14778/3352063.3352104

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,140 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.1945683e-05
10,740 Finding Convincing Views to Endorse a Claim 2025 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 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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