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DBPal: A Learned NL-Interface for Databases

Summary: DBPal presents a learned NL-interface for data exploration that translates natural language to SQL with novel MT models robust to paraphrase. It also offers a learned auto-completion feature that suggests partial query extensions during formulation, aiding schema-agnostic, complex queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5585
Venue
SIGMOD
Year
2018
Pagerank
8.1305875e-05
Overall Rank
2,778 | 80.95%
DOI
10.1145/3183713.3193562

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bask_sigmod18,
        title = {{DBPal: A Learned NL-Interface for Databases}},
        author = {Basık, Fuat and Hättasch, Benjamin and Ilkhechi, Amir and Usta, Arif and Ramaswamy, Shekar and Utama, Prasetya and Weir, Nathaniel and Binnig, Carsten and Cetintemel, Ugur},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193562},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193562},
        year = {2018}
}

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