G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation

Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou. G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 338-352, Association for Computational Linguistics, 2023. [doi]

@inproceedings{XiangZZLCZ23,
  title = {G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation},
  author = {Yanzheng Xiang and Qian-Wen Zhang and Xu Zhang and Zejie Liu and Yunbo Cao and Deyu Zhou},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.23},
  researchr = {https://researchr.org/publication/XiangZZLCZ23},
  cites = {0},
  citedby = {0},
  pages = {338-352},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}