A knowledge-aware Text-to-SQL framework constructs domain knowledge bases to generate synthetic data and enhance inference, claiming substantial gains on seven benchmarks especially in low-resource settings.
InProceedings of the 2020 Interna- tional Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pages 2347–2361
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Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model
A knowledge-aware Text-to-SQL framework constructs domain knowledge bases to generate synthetic data and enhance inference, claiming substantial gains on seven benchmarks especially in low-resource settings.