Mikel Artetxe - RankMe

110 papers A* 18A 1B 1C 1Journal 60Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation. EMNLP Pierre Andrews, Mikel Artetxe, Mariano Coria Meglioli, Marta R. Costa-jussà, Joe Chuang, David Dale, Mark Duppenthaler, Nathanial Paul Ekberg, Cynthia Gao, Daniel Edward Licht, Jean Maillard, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Eduardo Sánchez, Ioannis Tsiamas, Arina Turkatenko, Albert Ventayol-Boada, Shireen Yates
2025	J	`jnl`	BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation. CoRR The Omnilingual MT Team, Pierre Andrews, Mikel Artetxe, Mariano Coria Meglioli, Marta R. Costa-jussà, Joe Chuang, David Dale, Cynthia Gao, Jean Maillard, Alex Mourachko, Christophe Ropers, Safiyyah Saleem, Eduardo Sánchez, Ioannis Tsiamas, Arina Turkatenko, Albert Ventayol-Boada, Shireen Yates
2025	—	`conf`	Emergent Abilities of Large Language Models under Continued Pre-training for Language Adaptation. ACL (1) Ahmed Elhady, Eneko Agirre, Mikel Artetxe
2025	J	`jnl`	Emergent Abilities of Large Language Models under Continued Pretraining for Language Adaptation. CoRR Ahmed Elhady, Eneko Agirre, Mikel Artetxe
2025	A*	`conf`	Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque. EMNLP Oscar Sainz, Naiara Pérez, Julen Etxaniz, Joseba Fernandez de Landa, Itziar Aldabe, Iker García-Ferrero, Aimar Zabala, Ekhi Azurmendi, German Rigau, Eneko Agirre, Mikel Artetxe, Aitor Soroa
2025	J	`jnl`	Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque. CoRR Oscar Sainz, Naiara Pérez, Julen Etxaniz, Joseba Fernandez de Landa, Itziar Aldabe, Iker García-Ferrero, Aimar Zabala, Ekhi Azurmendi, German Rigau, Eneko Agirre, Mikel Artetxe, Aitor Soroa
2025	J	`jnl`	Translate, then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification. CoRR Samuel J. Bell, Eduardo Sánchez, David Dale, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
2025	—	`conf`	WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging. ACL (2) Ahmed Elhady, Eneko Agirre, Mikel Artetxe
2025	J	`jnl`	WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging. CoRR Ahmed Elhady, Eneko Agirre, Mikel Artetxe
2024	A*	`conf`	BertaQA: How Much Do Language Models Know About Local Culture? NeurIPS Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
2024	J	`jnl`	BertaQA: How Much Do Language Models Know About Local Culture? CoRR Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
2024	—	`conf`	Do Multilingual Language Models Think Better in English? NAACL (Short Papers) Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
2024	—	`conf`	IKER-GAITU: Research on Language Technology for Basque and Other Low-Resource Languages. SEPLN (Projects and Demonstrations) Eneko Agirre, Itziar Aldabe, Xabier Arregi, Mikel Artetxe, Unai Atutxa, Ekhi Azurmendi, Iker de la Iglesia, Julen Etxaniz, Víctor García Romillo, Inma Hernáez Rioja, Asier Herranz, Mikel Iruskieta, Oier López de Lacalle, Eva Navas, Paula Ontalvilla, Aitor Ormazabal, Naiara Pérez, German Rigau, Oscar Sainz, Jon Sánchez, Ibon Saratxaga, Aitor Soroa, Christoforos Souganidis, Jon Vadillo, Aimar Zabala
2024	—	`conf`	Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training. NAACL (Short Papers) Ahmed Elhady, Khaled Mostafa Elsayed, Eneko Agirre, Mikel Artetxe
2024	—	`conf`	Latxa: An Open Language Model and Evaluation Suite for Basque. ACL (1) Julen Etxaniz, Oscar Sainz, Naiara Miguel, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa
2024	J	`jnl`	Latxa: An Open Language Model and Evaluation Suite for Basque. CoRR Julen Etxaniz, Oscar Sainz, Naiara Pérez, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa
2024	J	`jnl`	Linguini: A benchmark for language-agnostic linguistic reasoning. CoRR Eduardo Sánchez, Belen Alastruey, Christophe Ropers, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
2024	J	`jnl`	Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. CoRR Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei Li, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie
2024	—	`conf`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2024	J	`jnl`	Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. CoRR Piotr Padlewski, Max Bain, Matthew Henderson, Zhongkai Zhu, Nishant Relan, Hai Pham, Donovan Ong, Kaloyan Aleksiev, Aitor Ormazabal, Samuel Phua, Ethan Yeo, Eugenie Lamprecht, Qi Liu, Yuqi Wang, Eric Chen, Deyu Fu, Lei Li, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Mikel Artetxe, Yi Tay
2023	J	`jnl`	A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
2023	A*	`conf`	CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. EMNLP Aitor Ormazabal, Mikel Artetxe, Eneko Agirre
2023	J	`jnl`	CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. CoRR Aitor Ormazabal, Mikel Artetxe, Eneko Agirre
2023	J	`jnl`	Do Multilingual Language Models Think Better in English? CoRR Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
2023	J	`jnl`	Evaluation of Faithfulness Using the Longest Supported Subsequence. CoRR Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu
2023	J	`jnl`	Gender-specific Machine Translation with Large Language Models. CoRR Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
2023	A*	`conf`	Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	J	`jnl`	Improving Language Plasticity via Pretraining with Active Forgetting. CoRR Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	—	`conf`	Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. ACL (Findings) Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe
2023	—	`conf`	On the Role of Parallel Data in Cross-lingual Transfer Learning. ACL (Findings) Machel Reid, Mikel Artetxe
2023	A*	`conf`	Revisiting Machine Translation for Cross-lingual Classification. EMNLP Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer
2023	J	`jnl`	Revisiting Machine Translation for Cross-lingual Classification. CoRR Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer
2023	J	`jnl`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2023	—	`conf`	Training Trajectories of Language Models Across Scales. ACL (1) Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
2022	A*	`conf`	Does Corpus Quality Really Matter for Low-Resource Languages? EMNLP Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa
2022	J	`jnl`	Does Corpus Quality Really Matter for Low-Resource Languages? CoRR Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa
2022	A*	`conf`	Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. EMNLP Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
2022	J	`jnl`	Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. CoRR Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
2022	J	`jnl`	Efficient Language Modeling with Sparse all-MLP. CoRR Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li
2022	A*	`conf`	Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov
2022	A*	`conf`	Few-shot Learning with Multilingual Generative Language Models. EMNLP Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2022	—	`conf`	Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
2022	J	`jnl`	Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
2022	J	`jnl`	Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. CoRR Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe
2022	J	`jnl`	Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2022	A*	`conf`	Multilingual Machine Translation with Hyper-Adapters. EMNLP Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale
2022	J	`jnl`	Multilingual Machine Translation with Hyper-Adapters. CoRR Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale
2022	J	`jnl`	OPT: Open Pre-trained Transformer Language Models. CoRR Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer
2022	—	`conf`	On the Role of Bidirectionality in Language Model Pre-Training. EMNLP (Findings) Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov
2022	J	`jnl`	On the Role of Bidirectionality in Language Model Pre-Training. CoRR Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov
2022	J	`jnl`	On the Role of Parallel Data in Cross-lingual Transfer Learning. CoRR Machel Reid, Mikel Artetxe
2022	—	`conf`	PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. NAACL-HLT Machel Reid, Mikel Artetxe
2022	—	`conf`	PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. RepL4NLP@ACL Machel Reid, Mikel Artetxe
2022	—	`conf`	PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. EMNLP (Findings) Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre
2022	J	`jnl`	PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. CoRR Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre
2022	—	`conf`	Principled Paraphrase Generation with Parallel Corpora. ACL (1) Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
2022	J	`jnl`	Principled Paraphrase Generation with Parallel Corpora. CoRR Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre
2022	A*	`conf`	Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov
2022	J	`jnl`	Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov
2022	A*	`conf`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
2022	J	`jnl`	Training Trajectories of Language Models Across Scales. CoRR Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
2021	—	`conf`	Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring. ACL/IJCNLP (1) Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
2021	J	`jnl`	Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov
2021	J	`jnl`	Few-shot Learning with Multilingual Language Models. CoRR Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2021	J	`jnl`	Multilingual Autoregressive Entity Linking. CoRR Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2021	A	`conf`	Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. EACL Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
2021	J	`jnl`	PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. CoRR Machel Reid, Mikel Artetxe
2021	J	`jnl`	Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. CoRR Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar
2020	A*	`conf`	A Call for More Rigor in Unsupervised Cross-lingual Learning. ACL Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
2020	J	`jnl`	A Call for More Rigor in Unsupervised Cross-lingual Learning. CoRR Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
2020	J	`jnl`	Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring. CoRR Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
2020	J	`jnl`	Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation. CoRR Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre
2020	J	`jnl`	Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation. Knowl. Based Syst. Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre
2020	J	`jnl`	Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. CoRR Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
2020	A*	`conf`	On the Cross-lingual Transferability of Monolingual Representations. ACL Mikel Artetxe, Sebastian Ruder, Dani Yogatama
2020	J	`jnl`	Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders. CoRR Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
2020	—	`conf`	Translation Artifacts in Cross-lingual Transfer Learning. EMNLP (1) Mikel Artetxe, Gorka Labaka, Eneko Agirre
2020	J	`jnl`	Translation Artifacts in Cross-lingual Transfer Learning. CoRR Mikel Artetxe, Gorka Labaka, Eneko Agirre
2020	—	`conf`	Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. ACL (student) Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar
2019	—	`conf`	An Effective Approach to Unsupervised Machine Translation. ACL (1) Mikel Artetxe, Gorka Labaka, Eneko Agirre
2019	J	`jnl`	An Effective Approach to Unsupervised Machine Translation. CoRR Mikel Artetxe, Gorka Labaka, Eneko Agirre
2019	—	`conf`	Analyzing the Limitations of Cross-lingual Word Embedding Mappings. ACL (1) Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre
2019	J	`jnl`	Analyzing the Limitations of Cross-lingual Word Embedding Mappings. CoRR Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre
2019	—	`conf`	Bilingual Lexicon Induction through Unsupervised Machine Translation. ACL (1) Mikel Artetxe, Gorka Labaka, Eneko Agirre
2019	J	`jnl`	Bilingual Lexicon Induction through Unsupervised Machine Translation. CoRR Mikel Artetxe, Gorka Labaka, Eneko Agirre
2019	J	`jnl`	Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora. Comput. Linguistics Pablo Gamallo, Susana Sotelo, José Ramom Pichel Campos, Mikel Artetxe
2019	—	`conf`	Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. ACL (1) Mikel Artetxe, Holger Schwenk
2019	J	`jnl`	Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. Trans. Assoc. Comput. Linguistics Mikel Artetxe, Holger Schwenk
2019	J	`jnl`	On the Cross-lingual Transferability of Monolingual Representations. CoRR Mikel Artetxe, Sebastian Ruder, Dani Yogatama
2019	J	`jnl`	Unsupervised Neural Machine Translation, a new paradigm solely based on monolingual text. Proces. del Leng. Natural Mikel Artetxe, Gorka Labaka, Eneko Agirre
2018	—	`conf`	A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. ACL (1) Mikel Artetxe, Gorka Labaka, Eneko Agirre
2018	J	`jnl`	A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. CoRR Mikel Artetxe, Gorka Labaka, Eneko Agirre
2018	A*	`conf`	Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations. AAAI Mikel Artetxe, Gorka Labaka, Eneko Agirre
2018	J	`jnl`	Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. CoRR Mikel Artetxe, Holger Schwenk
2018	J	`jnl`	Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. CoRR Mikel Artetxe, Holger Schwenk
2018	B	`conf`	Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation. CoNLL Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
2018	J	`jnl`	Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation. CoRR Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
2018	—	`conf`	Unsupervised Neural Machine Translation. ICLR (Poster) Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho
2018	A*	`conf`	Unsupervised Statistical Machine Translation. EMNLP Mikel Artetxe, Gorka Labaka, Eneko Agirre
2018	J	`jnl`	Unsupervised Statistical Machine Translation. CoRR Mikel Artetxe, Gorka Labaka, Eneko Agirre
2017	—	`conf`	Learning bilingual word embeddings with (almost) no bilingual data. ACL (1) Mikel Artetxe, Gorka Labaka, Eneko Agirre
2017	J	`jnl`	Unsupervised Neural Machine Translation. CoRR Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho
2016	—	`conf`	Adding syntactic structure to bilingual terminology for improved domain adaptation. DMTW Mikel Artetxe, Gorka Labaka, Chakaveh Saedi, João Rodrigues, João Silva, António Branco, Eneko Agirre
2016	A*	`conf`	Learning principled bilingual mappings of word embeddings while preserving monolingual invariance. EMNLP Mikel Artetxe, Gorka Labaka, Eneko Agirre
2015	—	`conf`	Analyzing English-Spanish Named-Entity enhanced Machine Translation. SSST@NAACL-HLT Mikel Artetxe, Eneko Agirre, Iñaki Alegria, Gorka Labaka
2015	C	`conf`	Building hybrid machine translation systems by using an EBMT preprocessor to create partial translations. EAMT Mikel Artetxe, Gorka Labaka, Kepa Sarasola
2015	—	`conf`	EHU at TweetMT: Adapting MT Engines for Formal Tweets. TweetMT@SEPLN Iñaki Alegria, Mikel Artetxe, Gorka Labaka, Kepa Sarasola
2015	J	`jnl`	Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches. Proces. del Leng. Natural Eneko Agirre, Iñaki Alegria, Nora Aranberri, Mikel Artetxe, Ander Barrena, António Branco, Arantza Díaz de Ilarraza, Koldo Gojenola, Gorka Labaka, Arantxa Otegi, Kepa Sarasola