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Automatic Speech Recognition and Query By Example for Creole Languages Documentation
In: Findings of the Association for Computational Linguistics: ACL 2022 ; https://hal.archives-ouvertes.fr/hal-03625303 ; Findings of the Association for Computational Linguistics: ACL 2022, May 2022, Dublin, Ireland (2022)
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Deceptive Opinions Detection Using New Proposed Arabic Semantic Features
In: ISSN: 1877-0509 ; EISSN: 1877-0509 ; Procedia Computer Science ; https://hal.archives-ouvertes.fr/hal-03299022 ; Procedia Computer Science, Elsevier, 2021, 189, pp.29 - 36. ⟨10.1016/j.procs.2021.05.067⟩ (2021)
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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Lightweight Adapter Tuning for Multilingual Speech Translation
In: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03294912 ; The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Aug 2021, Bangkok (Virtual), Thailand (2021)
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Visualizing Cross-Lingual Discourse Relations in Multilingual TED Corpora
In: Proceedings of the 2nd Workshop on Computational Approaches to Discourse ; CODI 2021: 2nd Workshop on Computational Approaches to Discourse ; https://hal.archives-ouvertes.fr/hal-03642341 ; CODI 2021: 2nd Workshop on Computational Approaches to Discourse, Nov 2021, Punta Cana, Dominican Republic. ⟨10.18653/v1/2021.codi-main.16⟩ (2021)
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Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?
In: Findings of ACL 2021 ; https://hal.archives-ouvertes.fr/hal-03299010 ; Findings of ACL 2021, Aug 2021, Bangkok (virtual), Thailand (2021)
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ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks
In: Proceedings of the 18th International Conference on Spoken Language Translation, ; International Conference on Spoken Language Translation (IWSLT) ; https://hal.archives-ouvertes.fr/hal-03298854 ; International Conference on Spoken Language Translation (IWSLT), Aug 2021, Bangkok (virtual), Thailand. ⟨10.18653/v1/2021.iwslt-1.20⟩ (2021)
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Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ...
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11
Lightweight Adapter Tuning for Multilingual Speech Translation ...
Le, Hang; Pino, Juan; Wang, Changhan. - : arXiv, 2021
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Lightweight Adapter Tuning for Multilingual Speech Translation ...
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Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ...
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FlauBERT: Unsupervised Language Model Pre-training for French
In: Proceedings of the 12th Language Resources and Evaluation Conference ; LREC ; https://hal.archives-ouvertes.fr/hal-02890258 ; LREC, 2020, Marseille, France (2020)
Abstract: International audience ; Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks. Leveraging the huge amount of unlabeled texts nowadays available, they provide an efficient way to pre-train continuous word representations that can be fine-tuned for a downstream task, along with their contextualization at the sentence level. This has been widely demonstrated for English using contextualized representations (Dai and Le, 2015; Peters et al., 2018; Howard and Ruder, 2018; Radford et al., 2018; Devlin et al., 2019; Yang et al., 2019b). In this paper, we introduce and share FlauBERT, a model learned on a very large and heterogeneous French corpus. Models of different sizes are trained using the new CNRS (French National Centre for Scientific Research) Jean Zay supercomputer. We apply our French language models to diverse NLP tasks (text classification, paraphrasing, natural language inference, parsing, word sense disambiguation) and show that most of the time they outperform other pre-training approaches. Different versions of FlauBERT as well as a unified evaluation protocol for the downstream tasks, called FLUE (French Language Understanding Evaluation), are shared to the research community for further reproducible experiments in French NLP.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; BERT; FlauBERT; FLUE; French; language model; natural language inference; NLP benchmark; paraphrase; parsing; pre-training; text classification; Transformer; word sense disambiguation
URL: https://hal.archives-ouvertes.fr/hal-02890258/file/Flaubert.pdf
https://hal.archives-ouvertes.fr/hal-02890258
https://hal.archives-ouvertes.fr/hal-02890258/document
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FlauBERT : Unsupervised Language Model Pre-training for French ; FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français
In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-02784776 ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles, Jun 2020, Nancy, France. pp.268-278 (2020)
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
In: COLING 2020 (long paper) ; https://hal.archives-ouvertes.fr/hal-02991564 ; COLING 2020 (long paper), Dec 2020, Virtual, Spain (2020)
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang; Pino, Juan; Wang, Changhan. - : arXiv, 2020
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang; Pino, Juan; Changhan Wang. - : Zenodo, 2020
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang; Pino, Juan; Changhan Wang. - : Zenodo, 2020
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang; Pino, Juan; Changhan Wang. - : Zenodo, 2020
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