Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation

Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari. Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 10335-10356, Association for Computational Linguistics, 2022. [doi]

@inproceedings{LiQXWZH22,
  title = {Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation},
  author = {Zhuang Li and Lizhen Qu and Qiongkai Xu and Tongtong Wu and Tianyang Zhan and Gholamreza Haffari},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.706},
  researchr = {https://researchr.org/publication/LiQXWZH22},
  cites = {0},
  citedby = {0},
  pages = {10335-10356},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}