Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer

Hongyu Gong, Linfeng Song, Suma Bhat. Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer. In Brian Davis, Yvette Graham, John Kelleher, Yaji Sripada, editors, Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020. pages 113-119, Association for Computational Linguistics, 2020. [doi]

@inproceedings{GongSB20,
  title = {Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer},
  author = {Hongyu Gong and Linfeng Song and Suma Bhat},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.inlg-1.17/},
  researchr = {https://researchr.org/publication/GongSB20},
  cites = {0},
  citedby = {0},
  pages = {113-119},
  booktitle = {Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020},
  editor = {Brian Davis and Yvette Graham and John Kelleher and Yaji Sripada},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-54-5},
}