Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings

Sawsan Alqahtani, Garima Lalwani, Yi Zhang, Salvatore Romeo, Saab Mansour. Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. pages 3904-3919, Association for Computational Linguistics, 2021. [doi]

@inproceedings{AlqahtaniLZRM21,
  title = {Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings},
  author = {Sawsan Alqahtani and Garima Lalwani and Yi Zhang and Salvatore Romeo and Saab Mansour},
  year = {2021},
  url = {https://aclanthology.org/2021.findings-emnlp.329},
  researchr = {https://researchr.org/publication/AlqahtaniLZRM21},
  cites = {0},
  citedby = {0},
  pages = {3904-3919},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}