| Unsupervised neural machine translation M Artetxe, G Labaka, E Agirre, K Cho Proceedings of the Sixth International Conference on Learning Representations, 2018 | 733 | 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 | 670 | 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 | 538 | 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 | 520 | 2017 |
| On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama arXiv preprint arXiv:1910.11856, 2019 | 386 | 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 | 376 | 2016 |
| 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 | 213 | 2018 |
| Unsupervised statistical machine translation M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:1809.01272, 2018 | 212 | 2018 |
| 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 | 156 | 2022 |
| 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 | 155 | 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 | 136 | 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 | 84 | 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 | 65 | 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 | 52 | 2019 |
| 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 | 47 | 2020 |
| Translation artifacts in cross-lingual transfer learning M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:2004.04721, 2020 | 46 | 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 | 42 | 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 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 | 41 | 2022 |
| 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 | 31 | 2020 |
Gorka LabakaHiTZ Center - Ixa, University of the Basque Country UPV/EHUVerified email at ehu.eus
