SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

ICLR 2018 Xiaojun XuChang LiuDawn Song

Synthesizing SQL queries from natural language is a long-standing open problem and has been attracting considerable interest recently. Toward solving the problem, the de facto approach is to employ a sequence-to-sequence-style model... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Text-To-Sql WikiSQL SQLNet (Seq2set+CA+WE) Accuracy (agg) 90.3% # 1
Text-To-Sql WikiSQL SQLNet (Seq2set+CA+WE) Accuracy (sel) 90.9% # 1
Text-To-Sql WikiSQL SQLNet (Seq2set+CA+WE) Accuracy (anywhere) 71.9% # 1