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State of the Art and Open Challenges in Natural Language Interfaces to Data

Summary: Tutorial-style survey of natural language interfaces to data, from rule-based extraction to holistic neural interpretation, spanning single-table to multi-join BI queries. Highlights open challenges in interpretation accuracy, scalability, and schema mapping; a concise state-of-the-art reference for researchers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5887
Venue
SIGMOD
Year
2020
Pagerank
6.3728705e-05
Overall Rank
5,078 | 65.17%
DOI
10.1145/3318464.3383128

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ozcan_sigmod20,
        title = {{State of the Art and Open Challenges in Natural Language Interfaces to Data}},
        author = {Özcan, Fatma and Quamar, Abdul and Sen, Jaydeep and Lei, Chuan and Efthymiou, Vasilis},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3383128},
        url = {https://dl.acm.org/doi/10.1145/3318464.3383128},
        year = {2020}
}

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