A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang. A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. In Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan 0001, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pages 3601-3612, Association for Computational Linguistics, 2019. [doi]

@inproceedings{LiHNBY19,
  title = {A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text},
  author = {Bohan Li and Junxian He and Graham Neubig and Taylor Berg-Kirkpatrick and Yiming Yang},
  year = {2019},
  doi = {10.18653/v1/D19-1370},
  url = {https://doi.org/10.18653/v1/D19-1370},
  researchr = {https://researchr.org/publication/LiHNBY19},
  cites = {0},
  citedby = {0},
  pages = {3601-3612},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019},
  editor = {Kentaro Inui and Jing Jiang and Vincent Ng and Xiaojun Wan 0001},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-90-1},
}