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Multitask Pointer Network for Multi-Representational Parsing
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Joint learning of morphology and syntax with cross-level contextual information flow
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In: 2022 ; 1 ; 33 (2022)
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Analyse en dépendances du français avec des plongements contextualisés
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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)
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To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children ...
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PLPrepare: A Grammar Checker for Challenging Cases
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In: Electronic Theses and Dissertations (2021)
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To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children
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Resourceful at Any Size: A Predictive Methodology Using Linguistic Corpus Metrics for Multi-Source Training in Neural Dependency Parsing
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Treebank embedding vectors for out-of-domain dependency parsing
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In: Wagner, Joachim orcid:0000-0002-8290-3849 , Barry, James orcid:0000-0003-3051-585X and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Treebank embedding vectors for out-of-domain dependency parsing. In: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 05-10 Jul 2020, Online (virtual conference). (2020)
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Bootstrap methods for multi-task dependency parsing in low-resource conditions ; Méthodes d’amorçage pour l’analyse en dépendances de langues peu dotées
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In: https://tel.archives-ouvertes.fr/tel-03477961 ; Linguistics. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLE027⟩ (2020)
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Extrinsic Evaluation of French Dependency Parsers on a Specialized Corpus: Comparison of Distributional Thesauri
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In: 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02611042 ; 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.5822-5830 (2020)
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On understanding character-level models for representing morphology ...
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On understanding character-level models for representing morphology
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Self attended stack pointer networks for learning long term dependencies
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Annotation syntaxique automatique de la partie orale du ORFÉO
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In: Langages, N 219, 3, 2020-08-11, pp.87-102 (2020)
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