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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 56 1 Is Old French tougher to parse? Grobol, Loïc; Prévost, Sophie; Crabbé, Benoît In: 20th International Workshop on Treebanks and Linguistic Theories ; https://hal.archives-ouvertes.fr/hal-03506500 ; 20th International Workshop on Treebanks and Linguistic Theories, Mar 2022, Sofia, Bulgaria (2022) BASE Show details 2 The impact of lexical and grammatical processing on generating code from natural language ... Beau, Nathanaël; Crabbé, Benoît. - : arXiv, 2022 BASE Show details 3 Analyse en dépendances du français avec des plongements contextualisés Grobol, Loïc; Crabbé, Benoît In: 28e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03223424 ; 28e Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2021, Lille (virtuel), France (2021) BASE Show details 4 Analyse en dépendances du français avec des plongements contextualisés Grobol, Loïc; Crabbé, Benoit In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265893 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.106-114 (2021) BASE Show details 5 Contrasting distinct structured views to learn sentence embeddings Simoulin, Antoine; Crabbé, Benoît In: Proceedings of the 16th Conference of the European Chapter of the Associationfor Computational Linguistics: Student Research Workshop, ; European Chapter of the Association of Computational Linguistics (student) ; https://hal.archives-ouvertes.fr/hal-03601428 ; European Chapter of the Association of Computational Linguistics (student), 2021, Kyiv, Ukraine (2021) BASE Show details 6 How Many Layers and Why? An Analysis of the Model Depth in Transformers Simoulin, Antoine; Crabbé, Benoît In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ; Association of Computational Linguistics (student) ; https://hal.archives-ouvertes.fr/hal-03601412 ; Association of Computational Linguistics (student), 2021, Bangkok, Thailand (2021) BASE Show details 7 Deep Sequoia corpus - PARSEME-FR corpus - FrSemCor Barque, Lucie; Candito, Marie; Constant, Matthieu. - : ANR, 2021 BASE Show details 8 Word order in French: the role of animacy Thuilier, Juliette; Grant, Margaret; Crabbé, Benoît... In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 55 ; 2397-1835 (2021) BASE Show details 9 Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Crabbé, Benoît; Li, Bingzhi. - : Underline Science Inc., 2021 BASE Show details 10 Can RNNs learn Recursive Nested Subject-Verb Agreements? ... Lakretz, Yair; Desbordes, Théo; King, Jean-Rémi. - : arXiv, 2021 BASE Show details 11 FlauBERT: Unsupervised Language Model Pre-training for French Le, Hang; Vial, Loïc; Frej, Jibril; Segonne, Vincent; Coavoux, Maximin; Lecouteux, Benjamin; Allauzen, Alexandre; Crabbe, Benoit; Besacier, Laurent; Schwab, Didier 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 BASE Hide details 12 FlauBERT : Unsupervised Language Model Pre-training for French ; FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français Le, Hang; Vial, Loïc; Frej, Jibril... 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) BASE Show details 13 Text form and grammatical changes in Medieval French: A treebank-based diachronic study Simonenko, Alexandra; Crabbé, Benoît; Prévost, Sophie In: Diachronic Treebanks for Historical Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03095698 ; Hanne Martine Eckoff; Silvia Luraghi; Marco Passarotti. Diachronic Treebanks for Historical Linguistics, John Benjamins Publishing Company, pp.95-128, 2020, 978 90 272 0798 2. ⟨10.1075/bct.113.04sim⟩ (2020) BASE Show details 14 Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2) Guillaume, Bruno; Ramisch, Carlos; Waszczuk, Jakub. - : PARSEME, 2020 BASE Show details 15 Unlexicalized Transition-based Discontinuous Constituency Parsing Coavoux, Maximin; Crabbé, Benoît; Cohen, Shay B. In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02150073 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2019, 7, pp.73--89. ⟨10.1162/tacl_a_00255⟩ (2019) BASE Show details 16 Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal Crabbé, Benoît; Fabre, Murielle; Pallier, Christophe In: EMNLP-IJCNLP 2019 - Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing ; https://hal.inria.fr/hal-02272303 ; EMNLP-IJCNLP 2019 - Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Nov 2019, Hong-Kong, China. ⟨10.18653/v1/D19-1106⟩ (2019) BASE Show details 17 Variable beam search for generative neural parsing and its fit with neuro-imaging signal Fabre, Murielle; Crabbe, Benoit; Pallier, Christophe In: CRCNS 2019 ; https://hal.inria.fr/hal-02272475 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019) BASE Show details 18 Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal Crabbé, Benoît; Fabre, Murielle; Pallier, Christophe In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ; https://hal.archives-ouvertes.fr/hal-03025859 ; Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, France. pp.1150-1160, ⟨10.18653/v1/D19-1106⟩ (2019) BASE Show details 19 Unlexicalized Transition-based Discontinuous Constituency Parsing ... Coavoux, Maximin; Crabbé, Benoît; Cohen, Shay B.. - : arXiv, 2019 BASE Show details 20 Unlexicalized Transition-based Discontinuous Constituency Parsing Coavoux, Maximin; Crabbé, Benoît; Cohen, Shay B. In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 73-89 (2019) (2019) BASE Show details Page: 1 2 3

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