Maximin Coavoux

Emmanuelle Esperança-Rodier

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

End-to-End Dependency Parsing of Spoken French.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2022, 2022

2021

Learning to Match Mathematical Statements with Proofs.

[BibT_eX]

[DOI]

CoRR, 2021

Contribution d'informations syntaxiques aux capacités de généralisation compositionelle des modèles seq2seq convolutifs (Assessing the Contribution of Syntactic Information for Compositional Generalization of seq2seq Convolutional Networks).

[BibT_eX]

[DOI]

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Self-Supervised and Controlled Multi-Document Opinion Summarization.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

BERT-Proof Syntactic Structures: Investigating Errors in Discontinuous Constituency Parsing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French).

[BibT_eX]

[DOI]

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

Qu'apporte BERT à l'analyse syntaxique en constituants discontinus ? Une suite de tests pour évaluer les prédictions de structures syntaxiques discontinues en anglais (What does BERT contribute to discontinuous constituency parsing ? A test suite to evaluate discontinuous constituency structure predictions in English).

[BibT_eX]

[DOI]

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

FlauBERT: Unsupervised Language Model Pre-training for French.

[BibT_eX]

[DOI]

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Unlexicalized Transition-based Discontinuous Constituency Parsing.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2019

Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Privacy-preserving Neural Representations of Text.

[BibT_eX]

[DOI]

Shashi Narayan

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Discontinuous Constituency Parsing of Morphologically Rich Languages. (Analyse syntaxique automatique en constituants discontinus des langues à morphologie riche).

[BibT_eX]

[DOI]

PhD thesis, 2017

Représentation et analyse automatique des discontinuités syntaxiques dans les corpus arborés en constituants du français (Representation and parsing of syntactic discontinuities in French constituent treebanks).

[BibT_eX]

[DOI]

Proceedings of the Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles, 2017

Cross-lingual RST Discourse Parsing.

[BibT_eX]

[DOI]

Chloé Braud

Anders Søgaard

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Incremental Discontinuous Phrase Structure Parsing with the GAP Transition.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Prédiction structurée pour l'analyse syntaxique en constituants par transitions : modèles denses et modèles creux.

[BibT_eX]

[DOI]

Trait. Autom. des Langues, 2016

Neural Greedy Constituent Parsing with Dynamic Oracles.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Comparaison d'architectures neuronales pour l'analyse syntaxique en constituants.

[BibT_eX]

[DOI]