Data Augmentation with Hierarchical SQL-to-Question Generation for
Cross-domain Text-to-SQL Parsing

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing

3 March 2021

Ao Zhang

Min Zhang

Papers citing "Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing"

6 / 6 papers shown

Title
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models Shenyang Liu Saleh Almohaimeed Liqiang Wang 32 0 0 06 Apr 2025
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation Meher Bhardwaj Hrishikesh Ethari Dennis Singh Moirangthem AI4TS 79 0 0 28 Nov 2024
Selective Demonstrations for Cross-domain Text-to-SQL Shuaichen Chang Eric Fosler-Lussier 20 19 0 10 Oct 2023
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers Abhijeet Awasthi Ashutosh Sathe Sunita Sarawagi 41 4 0 29 Oct 2022
Closed-book Question Generation via Contrastive Learning Xiangjue Dong Jiaying Lu Jianling Wang James Caverlee 37 8 0 13 Oct 2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering Zhengbao Jiang Jun Araki Haibo Ding Graham Neubig LRM 35 10 0 09 Oct 2022