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Is Old French tougher to parse?
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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)
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The impact of lexical and grammatical processing on generating code from natural language ...
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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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Analyse en dépendances du français avec des plongements contextualisés
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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)
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Contrasting distinct structured views to learn sentence embeddings
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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)
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How Many Layers and Why? An Analysis of the Model Depth in Transformers
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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)
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Word order in French: the role of animacy
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 55 ; 2397-1835 (2021)
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Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement ...
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Can RNNs learn Recursive Nested Subject-Verb Agreements? ...
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FlauBERT: Unsupervised Language Model Pre-training for French
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; LREC ; https://hal.archives-ouvertes.fr/hal-02890258 ; LREC, 2020, Marseille, France (2020)
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FlauBERT : Unsupervised Language Model Pre-training for French ; FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français
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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)
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Text form and grammatical changes in Medieval French: A treebank-based diachronic study
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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)
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Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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Guillaume, Bruno; Ramisch, Carlos; Waszczuk, Jakub; Monti, Johanna; Di Buono, Maria Pia; Sangati, Federico; Speranza, Giulia; Carlino, Carola; Güngör, Tunga; Yirmibeşoğlu, Zeynep; Sak, Haşim; Saraçlar, Murat; Giouli, Voula; Foufi, Vassiliki; Ramisch, Renata; Rademaker, Alexandre; Vale, Oto; Wilkens, Rodrigo; Candito, Marie; Crabbé, Benoît; Segonne, Vincent; Liebeskind, Chaya; Stymne, Sara; Hajič, Jan; Ginter, Filip; Luotolahti, Juhani; Straka, Milan; Zeman, Daniel; Barbu Mititelu, Verginica; Cristescu, Mihaela; Vaidya, Ashwini; Bhatia, Archna; Lichte, Timm; Ehren, Rafael; Jiang, Menghan; Xu, Hongzhi; Walsh, Abigail; Irimia, Elena; Dowling, Meghan. - : PARSEME, 2020
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Abstract:
This multilingual resource contains corpora for 14 languages, gathered at the occasion of the 1.2 edition of the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020). These corpora were meant to serve as additional "raw" corpora, to help discovering unseen verbal MWEs. The corpora are provided in CONLL-U (https://universaldependencies.org/format.html) format. They contain morphosyntactic annotations (parts of speech, lemmas, morphological features, and syntactic dependencies). Depending on the language, the information comes from treebanks (mostly Universal Dependencies v2.x) or from automatic parsers trained on UD v2.x treebanks (e.g., UDPipe). VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). For the 1.2 shared task edition, the data covers 14 languages, for which VMWEs were annotated according to the universal guidelines. The corpora are provided in the cupt format, inspired by the CONLL-U format. Morphological and syntactic information – not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.2 (2020). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.2
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Keyword:
dependency trees; morphological analysis; morphosyntactic annotation
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URL: http://hdl.handle.net/11234/1-3416
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Unlexicalized Transition-based Discontinuous Constituency Parsing
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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)
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Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
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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)
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Variable beam search for generative neural parsing and its fit with neuro-imaging signal
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In: CRCNS 2019 ; https://hal.inria.fr/hal-02272475 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019)
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Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
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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)
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Unlexicalized Transition-based Discontinuous Constituency Parsing ...
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Unlexicalized Transition-based Discontinuous Constituency Parsing
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 73-89 (2019) (2019)
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