Unsupervised neural machine translation M Artetxe, G Labaka, E Agirre, K Cho Proceedings of the Sixth International Conference on Learning Representations, 2018 | 754 | 2018 |
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond M Artetxe, H Schwenk Transactions of the Association for Computational Linguistics 7, 597-610, 2019 | 707 | 2019 |
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings M Artetxe, G Labaka, E Agirre Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 555 | 2018 |
Learning bilingual word embeddings with (almost) no bilingual data M Artetxe, G Labaka, E Agirre Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 527 | 2017 |
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama arXiv preprint arXiv:1910.11856, 2019 | 418 | 2019 |
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance M Artetxe, G Labaka, E Agirre Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 383 | 2016 |
OPT: Open pre-trained transformer language models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 223 | 2022 |
Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations M Artetxe, G Labaka, E Agirre Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 220 | 2018 |
Unsupervised statistical machine translation M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:1809.01272, 2018 | 217 | 2018 |
Margin-based parallel corpus mining with multilingual sentence embeddings M Artetxe, H Schwenk Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 160 | 2019 |
An effective approach to unsupervised machine translation M Artetxe, G Labaka, E Agirre Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 141 | 2019 |
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2202.12837, 2022 | 120 | 2022 |
Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, and Luke Zettlemoyer S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... Opt: Open pre-trained transformer language models 2, 5, 2022 | 91 | 2022 |
Analyzing the Limitations of Cross-lingual Word Embedding Mappings A Ormazabal, M Artetxe, G Labaka, A Soroa, E Agirre Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 55 | 2019 |
Multilingual autoregressive entity linking N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ... Transactions of the Association for Computational Linguistics 10, 274-290, 2022 | 51 | 2022 |
A call for more rigor in unsupervised cross-lingual learning M Artetxe, S Ruder, D Yogatama, G Labaka, E Agirre arXiv preprint arXiv:2004.14958, 2020 | 49 | 2020 |
Translation artifacts in cross-lingual transfer learning M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:2004.04721, 2020 | 49 | 2020 |
Bilingual Lexicon Induction through Unsupervised Machine Translation M Artetxe, G Labaka, E Agirre Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 44 | 2019 |
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation M Artetxe, G Labaka, I Lopez-Gazpio, E Agirre Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 42 | 2018 |
Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders C Escolano, MR Costa-jussā, JAR Fonollosa, M Artetxe arXiv preprint arXiv:2004.06575, 2020 | 33 | 2020 |