NLProv: Natural Language Provenance
Summary: End-to-end NL interface for database queries with provenance-aware NL answers. Transforms provenance into NL by leveraging the original question structure, and offers two NL presentation schemes: provenance-factorization and summarization. (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_vldb16,
title = {{NLProv: Natural Language Provenance}},
author = {Deutch, Daniel and Frost, Nave and Gilad, Amir},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1537--1540},
doi = {10.14778/3007263.3007270},
url = {https://doi.org/10.14778/3007263.3007270},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,602 | Provenance for Natural Language Queries | 2017 | VLDB | 6.6107638e-05 |
| 5,396 | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs | 2021 | SIGMOD | 6.2329373e-05 |
| 7,175 | NLProveNAns: Natural Language Provenance for Non-Answers | 2018 | VLDB | 5.6820504e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059843817 |
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 919 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.00013214041 |
| 1,627 | Efficient Provenance Storage | 2008 | SIGMOD | 0.00010188097 |
| 2,440 | NAUDA: A Cooperative, Natural Language Interface to Relational Databases | 1993 | SIGMOD | 8.5779647e-05 |
| 6,587 | Selective Provenance for Datalog Programs Using Top-K Queries | 2015 | VLDB | 5.8333865e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,941 | QuestPro: Queries in SPARQL Through Provenance | 2018 | VLDB |
| 2 | 2,778 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD |
| 3 | 11,748 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR |
| 4 | 806 | Provenance for Aggregate Queries | 2011 | PODS |
| 5 | 628 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB |
| 6 | 1,912 | Querying Data Provenance | 2010 | SIGMOD |
| 7 | 10,389 | PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL | 2026 | SIGMOD |
| 8 | 2,602 | NL2SQL is a solved problem... Not! | 2024 | CIDR |
| 9 | 7,175 | NLProveNAns: Natural Language Provenance for Non-Answers | 2018 | VLDB |
| 10 | 4,602 | Provenance for Natural Language Queries | 2017 | VLDB |