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    Article

    ConDA: state-based data augmentation for context-dependent text-to-SQL

    The context-dependent text-to-SQL task has profound real-world implications, as it facilitates users in extracting knowledge from vast databases, which allows users to acquire the information interactively for...

    Dingzirui Wang, Longxu Dou, Wanxiang Che in International Journal of Machine Learning … (2024)

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    UniSAr: a unified structure-aware autoregressive language model for text-to-SQL semantic parsing

    Existing text-to-SQL semantic parsers are typically designed for particular settings such as handling queries that span multiple tables, domains, or turns which makes them ineffective when applied to different...

    Longxu Dou, Yan Gao, Mingyang Pan in International Journal of Machine Learning … (2023)