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Mikel Artetxe
Mikel Artetxe
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Title
Cited by
Cited by
Year
Unsupervised neural machine translation
M Artetxe, G Labaka, E Agirre, K Cho
Proceedings of the Sixth International Conference on Learning Representations, 2018
7262018
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
6432019
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
5212018
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
5102017
On the cross-lingual transferability of monolingual representations
M Artetxe, S Ruder, D Yogatama
arXiv preprint arXiv:1910.11856, 2019
3762019
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
3722016
Unsupervised statistical machine translation
M Artetxe, G Labaka, E Agirre
arXiv preprint arXiv:1809.01272, 2018
2102018
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
2082018
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
1522019
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
1342019
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
1072022
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
542022
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
512019
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, 2022
472022
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
442020
Translation artifacts in cross-lingual transfer learning
M Artetxe, G Labaka, E Agirre
arXiv preprint arXiv:2004.04721, 2020
422020
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
412019
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
412018
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
372022
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
282020
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