NLProveNAns: Natural Language Provenance for Non-Answers
Summary: NLProveNAns, a natural-language DB interface, explains non-answers to non-expert users. It highlights NL-query fragments responsible for missing results and supports two why-not provenance flavors: frontier-picky (brief) and why-not polynomial (detailed). (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)
- 4. Tomer Haimovich (Tel Aviv University)
BibTeX Citation
@article{deutch_vldb18,
title = {{NLProveNAns: Natural Language Provenance for Non-Answers}},
author = {Deutch, Daniel and Frost, Nave and Gilad, Amir and Haimovich, Tomer},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1986--1989},
doi = {10.14778/3229863.3236241},
url = {https://doi.org/10.14778/3229863.3236241},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,879 | To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data | 2021 | SIGMOD | 5.4341576e-05 |
| 10,024 | Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb | 2021 | VLDB | 5.0934925e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.0002654471 |
| 391 | Why Not? | 2009 | SIGMOD | 0.00019238698 |
| 6,708 | Selective Provenance for Datalog Programs Using Top-K Queries | 2015 | VLDB | 5.7027474e-05 |
| 7,407 | EFQ: Why-Not Answer Polynomials in Action | 2015 | VLDB | 5.534824e-05 |
| 9,940 | NLProv: Natural Language Provenance | 2016 | VLDB | 5.1062975e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,486 | Approximate Summaries for Why and Why-not Provenance | 2020 | VLDB |
| 2 | 12,240 | QuestPro: Queries in SPARQL Through Provenance | 2018 | VLDB |
| 3 | 12,051 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR |
| 4 | 791 | How to ConQueR Why-Not Questions | 2010 | SIGMOD |
| 5 | 391 | Why Not? | 2009 | SIGMOD |
| 6 | 4,840 | High-Level Why-Not Explanations using Ontologies | 2015 | PODS |
| 7 | 12,237 | Provenance Summaries for Answers and Non-Answers | 2018 | VLDB |
| 8 | 622 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB |
| 9 | 4,687 | Provenance for Natural Language Queries | 2017 | VLDB |
| 10 | 9,940 | NLProv: Natural Language Provenance | 2016 | VLDB |