GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation

Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu. GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 1640-1654, Association for Computational Linguistics, 2021. [doi]

@inproceedings{ChoubeyCMD21,
  title = {GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation},
  author = {Prafulla Kumar Choubey and Anna Currey and Prashant Mathur and Georgiana Dinu},
  year = {2021},
  url = {https://aclanthology.org/2021.emnlp-main.123},
  researchr = {https://researchr.org/publication/ChoubeyCMD21},
  cites = {0},
  citedby = {0},
  pages = {1640-1654},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}