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Automatic SQL generation has been an active research area, aiming at streamlining the access to databases by writing natural language with the given intent instead of writing SQL.
Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, et al. 2019 · 1909
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Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers
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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
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Provable limitations of acquiring meaning from ungrounded form: What will future language models understand?
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