Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, and Angela Fan. The Flores-101 evaluation benchmark for low-resource and multilingual machine translation. Transactions of the Association for Computational Linguistics, 10:522-538, 2022. doi: 10.1162/tacl_a_00474. URL https://aclanthology.org/2022.tacl-1.30.
Belize Gunel, Jingfei Du, Alexis Conneau, and Veselin Stoyanov. Supervised contrastive learning for pre-trained language model fine-tuning. In International Conference on Learning Representations, 2021. URL https://openreview.net/forum?id=cu7IUiOhujH.
Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernandez Abrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. Effective parallel corpus mining using bilingual sentence embeddings. In Proceedings of the Third Conference on Machine Translation: Research Papers, pages 165-176, Brussels, Belgium, October 2018. Association for Computational Linguistics. doi: 10.18653/v1/W18-6317. URL https://aclanthology.org/W18-6317.
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick. Momentum contrast for unsupervised visual representation learning. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9726-9735. IEEE Computer Society, 2020.
David T Hoffmann, N Behrmann, J Gall, Thomas Brox, and M Noroozi. Ranking info noise contrastive estimation: Boosting contrastive learning via ranked positives. In AAAI Conference on Artificial Intelligence, 2022.
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan First, and Melvin Johnson. XTREME: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation. In Hal Daumé III and Aarti Singh, editors, Proceedings of the 37th International Conference on Machine Learning, volume 119 of Proceedings of Machine Learning Research, pages 4411-4421. PMLR, 13-18 Jul 2020. URL https://proceedings.mlr.press/v119/hu20b.html.
Junjie Hu, Melvin Johnson, Orhan First, Aditya Siddhant, and Graham Neubig. Explicit alignment objectives for multilingual bidirectional encoders. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3633-3643, Online, June 2021. Association for Computational Linguistics. doi: 10.18653/v1/2021.naacl-main.284. URL https://aclanthology.org/2021.naacl-main.284.
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, and Ming Zhou. Unicoder: A universal language encoder by pre-training with multiple cross-lingual tasks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 2485-2494, Hong Kong, China, November 2019. Association for Computational Linguistics. doi: 10.18653/v1/D19-1252. URL https://aclanthology.org/D19-1252.
Jeannie Y Irwin, Henk Harkema, Lee M Christensen, Titus Schleyer, Peter J Haug, and Wendy W Chapman. Methodology to develop and evaluate a semantic representation for nlp. In AMIA Annual Symposium Proceedings, volume 2009, page 271. American Medical Informatics Association, 2009.
Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, and André F. T. Martins. OpenKiwi: An open source framework for quality estimation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 117-122, Florence, Italy, July 2019. Association for Computational Linguistics. doi: 10.18653/v1/P19-3020. URL https://aclanthology.org/P19-3020.
Phillip Keung, Yichao Lu, György Szarvas, and Noah A. Smith. The multilingual Amazon reviews corpus. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4563-4568, Online, November 2020. Association for Computational Linguistics. doi: 10.18653/v1/2020.emnlp-main.369. URL https://aclanthology.org/2020.emnlp-main.369.