Data-Anonymous Encoding for Text-to-SQL Generation

IJCNLP 2019 Zhen DongShizhao SunHongzhi LiuJian-Guang LouDongmei Zhang

On text-to-SQL generation, the input utterance usually contains lots of tokens that are related to column names or cells in the table, called \textit{table-related tokens}. These table-related tokens are troublesome for the downstream neural semantic parser because it brings complex semantics and hinders the sharing across the training examples... (read more)

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