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FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French).

, , , , , , , , , and . JEP-TALN-RECITAL (2), page 268-278. ATALA et AFCP, (2020)

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Prédiction structurée pour l'analyse syntaxique en constituants par transitions : modèles denses et modèles creux., and . Trait. Autom. des Langues, (2016)Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle., and . NAACL-HLT (1), page 204-217. Association for Computational Linguistics, (2019)LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech., , , , , , , , , and 12 other author(s). CoRR, (2023)Learning to Match Mathematical Statements with Proofs., and . CoRR, (2021)End-to-End Dependency Parsing of Spoken French., , , and . INTERSPEECH, page 1816-1820. ISCA, (2022)Comparaison d'architectures neuronales pour l'analyse syntaxique en constituants., and . TALN (long papers), page 291-302. ATALA, (2015)FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French)., , , , , , , , , and . JEP-TALN-RECITAL (2), page 268-278. ATALA et AFCP, (2020)Unlexicalized Transition-based Discontinuous Constituency Parsing., , and . Trans. Assoc. Comput. Linguistics, (2019)What has LeBenchmark Learnt about French Syntax?, , , and . CoRR, (2024)Analyse sémantique AMR pour le français par transfert translingue., , , and . CORIA-TALN (2), page 55-62. ATALA, (2023)