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Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
(2021)
Recently, there has been significant progress in studying neural networks for translating text descriptions into SQL queries under the zero-shot cross-domain setting. Despite achieving good performance on some public ...
Towards Robustness of Text-to-SQL Models against Synonym Substitution
(2021)
Recently, there has been significant progress in studying neural networks to translate text descriptions into SQL queries. Despite achieving good performance on some public benchmarks, existing text-to-SQL models typically ...
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications
(2021)
Addressing the mismatch between natural language descriptions and the corresponding SQL queries is a key challenge for text-to-SQL translation. To bridge this gap, we propose an SQL intermediate representation (IR) called ...
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment
(2022-05-04)
In text-to-SQL tasks -- as in much of NLP -- compositional generalization is a major challenge: neural networks struggle with compositional generalization where training and test distributions differ. However, most recent ...