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Mikel Artetxe
Mikel Artetxe
Reka AI
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Cited by
Cited by
Year
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
955*2022
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
8302019
Unsupervised neural machine translation
M Artetxe, G Labaka, E Agirre, K Cho
Proceedings of the Sixth International Conference on Learning Representations, 2018
7982018
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
6042018
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
5572017
On the cross-lingual transferability of monolingual representations
M Artetxe, S Ruder, D Yogatama
arXiv preprint arXiv:1910.11856, 2019
5052019
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
4052016
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
3452022
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
2292018
Unsupervised statistical machine translation
M Artetxe, G Labaka, E Agirre
arXiv preprint arXiv:1809.01272, 2018
2282018
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
1762019
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
1522019
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
692022
Translation artifacts in cross-lingual transfer learning
M Artetxe, G Labaka, E Agirre
arXiv preprint arXiv:2004.04721, 2020
672020
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
632019
Few-shot learning with multilingual language models
XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ...
arXiv preprint arXiv:2112.10668, 2021
582021
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
582020
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
502019
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
442018
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
362020
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