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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)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)Incremental Discontinuous Phrase Structure Parsing with the GAP Transition., and . EACL (1), page 1259-1270. Association for Computational Linguistics, (2017)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)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)