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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Does Corpus Quality Really Matter for Low-Resource Languages? ... Artetxe, Mikel; Aldabe, Itziar; Agerri, Rodrigo. - : arXiv, 2022 BASE Show details 2 Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ... Kvapilıkova, Ivana; Artetxe, Mikel; Labaka, Gorka. - : arXiv, 2021 BASE Show details 3 Multilingual Autoregressive Entity Linking ... De Cao, Nicola; Wu, Ledell; Popat, Kashyap. - : arXiv, 2021 BASE Show details 4 PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining ... Reid, Machel; Artetxe, Mikel. - : arXiv, 2021 BASE Show details 5 Few-shot Learning with Multilingual Language Models ... Lin, Xi Victoria; Mihaylov, Todor; Artetxe, Mikel. - : arXiv, 2021 BASE Show details 6 Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Agirre, Eneko; Artetxe, Mikel. - : Underline Science Inc., 2021 BASE Show details 7 Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders ... Escolano, Carlos; Costa-jussà, Marta R.; Fonollosa, José A. R.. - : arXiv, 2020 BASE Show details 8 Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders ... Escolano, Carlos; Costa-jussà, Marta R.; Fonollosa, José A. R.. - : arXiv, 2020 BASE Show details 9 A Call for More Rigor in Unsupervised Cross-lingual Learning ... Artetxe, Mikel; Ruder, Sebastian; Yogatama, Dani. - : arXiv, 2020 BASE Show details 10 Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring ... Ormazabal, Aitor; Artetxe, Mikel; Soroa, Aitor. - : arXiv, 2020 BASE Show details 11 Translation Artifacts in Cross-lingual Transfer Learning ... Artetxe, Mikel; Labaka, Gorka; Agirre, Eneko. - : arXiv, 2020 BASE Show details 12 Analyzing the Limitations of Cross-lingual Word Embedding Mappings ... Ormazabal, Aitor; Artetxe, Mikel; Labaka, Gorka. - : arXiv, 2019 BASE Show details 13 On the Cross-lingual Transferability of Monolingual Representations ... Artetxe, Mikel; Ruder, Sebastian; Yogatama, Dani. - : arXiv, 2019 BASE Show details 14 Unsupervised Neural Machine Translation, a new paradigm solely based on monolingual text ; Traducción Automática Neuronal no Supervisada, un nuevo paradigma basado solo en textos monolingües Artetxe, Mikel; Labaka Intxauspe, Gorka; Agirre Bengoa, Eneko. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2019 BASE Show details 15 Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond Artetxe, Mikel; Schwenk, Holger In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 597-610 (2019) (2019) BASE Show details 16 Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora Gamallo, Pablo; Sotelo, Susana; Pichel, José Ramom... In: Computational Linguistics, Vol 45, Iss 3, Pp 395-421 (2019) (2019) BASE Show details 17 Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond ... Artetxe, Mikel; Schwenk, Holger. - : arXiv, 2018 Abstract: We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts. Our system uses a single BiLSTM encoder with a shared BPE vocabulary for all languages, which is coupled with an auxiliary decoder and trained on publicly available parallel corpora. This enables us to learn a classifier on top of the resulting embeddings using English annotated data only, and transfer it to any of the 93 languages without any modification. Our experiments in cross-lingual natural language inference (XNLI dataset), cross-lingual document classification (MLDoc dataset) and parallel corpus mining (BUCC dataset) show the effectiveness of our approach. We also introduce a new test set of aligned sentences in 112 languages, and show that our sentence embeddings obtain strong results in multilingual similarity search even for low-resource languages. Our implementation, the pre-trained encoder and the multilingual test ... : TACL ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.1812.10464 https://arxiv.org/abs/1812.10464 BASE Hide details 18 Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation ... Artetxe, Mikel; Labaka, Gorka; Lopez-Gazpio, Iñigo. - : arXiv, 2018 BASE Show details 19 Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches ; QTLeap - Traducción de calidad mediante tratamientos profundos de ingeniería lingüística Agirre Bengoa, Eneko; Alegría Loinaz, Iñaki; Aranberri, Nora. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2015 BASE Show details

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