SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising

SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising Kuan Xu author Yongbo Wang author Yongliang Wang author Zihao Wang author Zujie Wen author Yang Dong author 2022-07 text Findings of the Association for Computational Linguistics: NAACL 2022 Marine Carpuat editor Marie-Catherine de Marneffe editor Ivan Vladimir Meza Ruiz editor Association for Computational Linguistics Seattle, United States conference publication xu-etal-2022-sead 10.18653/v1/2022.findings-naacl.141 https://aclanthology.org/2022.findings-naacl.141/ 2022-07 1845 1853