Provenance for Natural Language Queries
Summary: End-to-end NL QA system delivering provenance-enabled answers with explanations tied to query provenance. Introduces two NL provenance views—factorization and summarization—turning large provenance into readable NL, with experiments and a user study on quality and scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Deutch
- 2. Nave Frost
- 3. Amir Gilad
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,280 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.1111033e-05 |
| 3,149 | Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems | 2019 | VLDB | 7.4741595e-05 |
| 5,691 | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs | 2021 | SIGMOD | 5.3684557e-05 |
| 7,364 | ExplainED: Explanations for EDA Notebooks | 2020 | VLDB | 4.7519211e-05 |
| 8,388 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 4.5297787e-05 |
| 9,043 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 4.4039656e-05 |
| 11,551 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR | 4.1945683e-05 |
| 11,733 | Provenance Summaries for Answers and Non-Answers | 2018 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,662 | Selective Provenance for Datalog Programs Using Top-K Queries | 2015 | VLDB | 4.9704872e-05 |
| 6,371 | DBMSs Should Talk Back Too | 2009 | CIDR | 5.0930594e-05 |
| 11,551 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR | 4.1945683e-05 |
| 2,988 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 7.7761714e-05 |
| 2,057 | From Natural Language Processing to Neural Databases | 2021 | VLDB | 9.6624862e-05 |
| 1,106 | Provenance for Aggregate Queries | 2011 | PODS | 0.0001398766 |
| 2,173 | Querying Data Provenance | 2010 | SIGMOD | 9.3676609e-05 |
| 652 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB | 0.00018634477 |
| 6,975 | NLProveNAns: Natural Language Provenance for Non-Answers | 2018 | VLDB | 4.8772572e-05 |
| 9,622 | NLProv: Natural Language Provenance | 2016 | VLDB | 4.3163112e-05 |