AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Silei Xu, Sina J. Semnani, Giovanni Campagna, Monica S. Lam. AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 422-434, Association for Computational Linguistics, 2020. [doi]

@inproceedings{XuSCL20,
  title = {AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data},
  author = {Silei Xu and Sina J. Semnani and Giovanni Campagna and Monica S. Lam},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.31/},
  researchr = {https://researchr.org/publication/XuSCL20},
  cites = {0},
  citedby = {0},
  pages = {422-434},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}