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We present a sequence-to-action parsing approach for the natural language to SQL task that incrementally fills the slots of a SQL query with feasible actions from a pre-defined inventory.
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Expanding the scope of the ATIS task: The ATIS-3 corpus
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Yoav Goldberg, Francesco Sartorio, and Giorgio Satta · 2014
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Chenglong Wang, Marc Brockschmidt, and Rishabh Singh · 2017
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Seq2SQL: Generating structured queries from natural language using reinforcement learning
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