Improving Compositional Generalization with Self-Training for Data-to-Text Generation

Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell. Improving Compositional Generalization with Self-Training for Data-to-Text Generation. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 4205-4219, Association for Computational Linguistics, 2022. [doi]

@inproceedings{MehtaRTKPS22,
  title = {Improving Compositional Generalization with Self-Training for Data-to-Text Generation},
  author = {Sanket Vaibhav Mehta and Jinfeng Rao and Yi Tay and Mihir Kale and Ankur Parikh and Emma Strubell},
  year = {2022},
  url = {https://aclanthology.org/2022.acl-long.289},
  researchr = {https://researchr.org/publication/MehtaRTKPS22},
  cites = {0},
  citedby = {0},
  pages = {4205-4219},
  booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022},
  editor = {Smaranda Muresan and Preslav Nakov and Aline Villavicencio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-21-6},
}