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

Kuan Xu, Yongbo Wang, Yongliang Wang +2

In text-to-SQL task, seq-to-seq models often lead to sub-optimal performance due to limitations in their architecture. In this paper, we present a simple yet effective approach tha…