Structure-Grounded Pretraining for Text-to-SQL
Structure-Grounded Pretraining for Text-to-SQL
Learning to capture text-table alignment is essential for tasks like text-to-SQL. A model needs to correctly recognize natural language references to columns and values and to ground them in the given database schema. In this paper, we present a novel weakly supervised Structure-Grounded pretraining framework (StruG) for text-to-SQL that can …