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 |
|---|---|---|---|---|
| 1,746 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.7341914e-05 |
| 2,835 | Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems | 2019 | VLDB | 7.9553846e-05 |
| 5,529 | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs | 2021 | SIGMOD | 6.0935553e-05 |
| 7,508 | ExplainED: Explanations for EDA Notebooks | 2020 | VLDB | 5.5066763e-05 |
| 8,355 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 5.3482186e-05 |
| 9,373 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 5.1868213e-05 |
| 12,051 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR | 4.9793485e-05 |
| 12,237 | Provenance Summaries for Answers and Non-Answers | 2018 | VLDB | 4.9793485e-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 |
|---|---|---|---|---|
| 1 | 6,387 | DBMSs Should Talk Back Too | 2009 | CIDR |
| 2 | 12,051 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR |
| 3 | 10,879 | Computing Why-Provenance for Property Graph Queries | 2026 | VLDB |
| 4 | 2,117 | NL2SQL is a solved problem... Not! | 2024 | CIDR |
| 5 | 1,846 | From Natural Language Processing to Neural Databases | 2021 | VLDB |
| 6 | 819 | Provenance for Aggregate Queries | 2011 | PODS |
| 7 | 1,827 | Querying Data Provenance | 2010 | SIGMOD |
| 8 | 622 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB |
| 9 | 7,317 | NLProveNAns: Natural Language Provenance for Non-Answers | 2018 | VLDB |
| 10 | 9,940 | NLProv: Natural Language Provenance | 2016 | VLDB |