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Natural Language Interfaces for Databases with Deep Learning

Summary: Tutorial taxonomy of deep-learning approaches for Text-to-SQL, SQL-to-Text, and Data-to-Text, including benchmarks and evaluation. Highlights the distinctive challenge of unifying all three into conversational database interfaces. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13406
Venue
VLDB
Year
2023
Pagerank
5.7497843e-05
Overall Rank
6,870 | 52.87%
DOI
10.14778/3611540.3611575

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{katsogiannismeimarakis_vldb23,
        title = {{Natural Language Interfaces for Databases with Deep Learning}},
        author = {Katsogiannis-Meimarakis, George and Xydas, Mike and Koutrika, Georgia},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3878--3881},
        doi = {10.14778/3611540.3611575},
        url = {https://doi.org/10.14778/3611540.3611575},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,332 Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL 2025 VLDB 5.6433374e-05
9,870 Natural Language to SQL: State of the Art and Open Problems 2025 VLDB 5.2043672e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,808 λόγος: A System for Translating Queries into Narratives 2012 SIGMOD 9.7050949e-05
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