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 (Tel Aviv University)
- 2. Nave Frost (Tel Aviv University)
- 3. Amir Gilad (Tel Aviv University)
BibTeX Citation
@article{deutch_vldb17,
title = {{Provenance for Natural Language Queries}},
author = {Deutch, Daniel and Frost, Nave and Gilad, Amir},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {5},
pages = {577--588},
doi = {10.14778/3055540.3055548},
url = {https://doi.org/10.14778/3055540.3055548},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,798 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.7361937e-05 |
| 2,851 | Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems | 2019 | VLDB | 8.0462369e-05 |
| 5,396 | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs | 2021 | SIGMOD | 6.2329373e-05 |
| 7,383 | ExplainED: Explanations for EDA Notebooks | 2020 | VLDB | 5.6284447e-05 |
| 8,184 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 5.4709725e-05 |
| 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 5.3058708e-05 |
| 11,748 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR | 5.093636e-05 |
| 11,938 | Provenance Summaries for Answers and Non-Answers | 2018 | VLDB | 5.093636e-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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