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Extraction automatique d'affixes pour la reconnaissance d'entités nommées chimiques., , , and . EGC, volume E-30 of Revue des Nouvelles Technologies de l'Information, page 531-532. Éditions RNTI, (2016)Réseaux neuronaux profonds pour l'étiquetage de séquences (Deep Neural Networks for Sequence Labeling)., , and . TALN (2), page 19-27. ATALA, (2017)Les modèles de langue contextuels Camembert pour le français : impact de la taille et de l'hétérogénéité des données d'entrainement (C AMEM BERT Contextual Language Models for French: Impact of Training Data Size and Heterogeneity )., , , , , , , and . JEP-TALN-RECITAL (2), page 54-65. ATALA et AFCP, (2020)Construction automatisée d'une base de connaissances (Automated Building a Knowledge Base)., , , and . JEP-TALN-RECITAL (Demonstrations), page 12-14. AFCP - ATALA, (2016)CamemBERT: a Tasty French Language Model., , , , , , , and . ACL, page 7203-7219. Association for Computational Linguistics, (2020)SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German., , , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Symbolic and statistical learning for chunking : comparison and combinations (Apprentissage symbolique et statistique pour le chunking: comparaison et combinaisons) in French., and . TALN (1), page 19-32. The Association for Computer Linguistics, (2013)QUEER@DEFT2021 : Identification du Profil Clinique de Patients et Notation Automatique de Copies d'Étudiants (QUEER@DEFT2021 : Patients Clinical Profile Identification and Automatic Student Grading )., , , , and . TALN (DEFT), page 95-107. ATALA, (2021)Establishing a New State-of-the-Art for French Named Entity Recognition., , , , and . LREC, page 4631-4638. European Language Resources Association, (2020)Sequential Patterns of POS Labels Help to Characterize Language Acquisition., , and . DMNLP@PKDD/ECML, volume 1202 of CEUR Workshop Proceedings, page 129-142. CEUR-WS.org, (2014)