Papers with context-dependent Text-to-SQL task

1 papers
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing (2023.findings-acl)

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Challenge: Existing models struggle on the text-to-SQL benchmarks, but we propose a method to improve their generalization ability.
Approach: They propose a method to improve the combinatorial generalization of Text-to-SQL models by aligning previous SQL statements with the input utterance.
Outcome: The proposed method improves the generalization ability of Text-to-SQL models.

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