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What has LeBenchmark Learnt about French Syntax?, , , and . CoRR, (2024)Unlexicalized Transition-based Discontinuous Constituency Parsing., , and . Trans. Assoc. Comput. Linguistics, (2019)Self-Supervised and Controlled Multi-Document Opinion Summarization., , , and . EACL, page 1646-1662. Association for Computational Linguistics, (2021)Analyse sémantique AMR pour le français par transfert translingue., , , and . CORIA-TALN (2), page 55-62. ATALA, (2023)Prédiction structurée pour l'analyse syntaxique en constituants par transitions : modèles denses et modèles creux., and . Trait. Autom. des Langues, (2016)LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech., , , , , , , , , and 12 other author(s). CoRR, (2023)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)On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election., , , and . WWW, page 4104-4114. ACM, (2023)Neural Greedy Constituent Parsing with Dynamic Oracles., and . ACL (1), The Association for Computer Linguistics, (2016)BERT-Proof Syntactic Structures: Investigating Errors in Discontinuous Constituency Parsing.. ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3259-3272. Association for Computational Linguistics, (2021)