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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
5826
Venue
SIGMOD
Year
2020
Pagerank
5.5846982e-05
Overall Rank
5,282 | 63.30%
DOI
10.1145/3318464.3383128

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