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The sequence-to-sequence paradigm employed by neural text-to-SQL models typically performs token-level decoding and does not consider generating SQL hierarchically from a grammar.
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Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke S. Zettlemoyer. 2017 · 2017
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Sqlnet: Generating structured queries from natural language without reinforcement learning
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Typesql: Knowledge-based type-aware neural text-to-sql generation
Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, and Dragomir Radev. 2018a
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Syntaxsqlnet: Syntax tree networks for complex and cross-domain text-to-sql task
Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, and Dragomir Radev. 2018b · 2018
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