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Chloé Braud
Chloé Braud
Melodi, IRIT, CNRS (Toulouse)
Geverifieerd e-mailadres voor irit.fr - Homepage
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Comparing word representations for implicit discourse relation classification
C Braud, P Denis
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
802015
Using local knowledge graph construction to scale seq2seq models to multi-document inputs
A Fan, C Gardent, C Braud, A Bordes
arXiv preprint arXiv:1910.08435, 2019
752019
Cross-lingual RST discourse parsing
C Braud, M Coavoux, A Søgaard
arXiv preprint arXiv:1701.02946, 2017
742017
Multi-view and multi-task training of RST discourse parsers
C Braud, B Plank, A Søgaard
Conference on Computational Linguistics (CoLing), 1903-1913, 2016
442016
Vers le fdtb: French discourse tree bank
L Danlos, D Antolinos-Basso, C Braud, C Roze
TALN 2012: 19ème conférence sur le Traitement Automatique des Langues …, 2012
432012
Learning Connective-based Word Representations for Implicit Discourse Relation Identification
C Braud, P Denis
Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
362016
Combining natural and artificial examples to improve implicit discourse relation identification
C Braud, P Denis
coling, 2014
352014
Augmenting transformers with KNN-based composite memory for dialog
A Fan, C Gardent, C Braud, A Bordes
Transactions of the Association for Computational Linguistics 9, 82-99, 2021
312021
ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents
P Muller, C Braud, M Morey
Proceedings of the Workshop on Discourse Relation Parsing and Treebanking …, 2019
242019
Cross-lingual and cross-domain discourse segmentation of entire documents
C Braud, O Lacroix, A Søgaard
arXiv preprint arXiv:1704.04100, 2017
212017
Does syntax help discourse segmentation? not so much
C Braud, O Lacroix, A Søgaard
Conference on Empirical Methods in Natural Language Processing, 2432-2442, 2017
152017
Is writing style predictive of scientific fraud?
C Braud, A Søgaard
arXiv preprint arXiv:1707.04095, 2017
92017
The disrpt 2021 shared task on elementary discourse unit segmentation, connective detection, and relation classification
A Zeldes, YJ Liu, M Iruskieta, P Muller, C Braud, S Badene
Proceedings of the 2nd Shared Task on Discourse Relation Parsing and …, 2021
82021
Identification automatique des relations discursives" implicites" à partir de données annotées et de corpus bruts
C Braud, P Denis
TALN-20ème conférence du Traitement Automatique du Langage Naturel 2013 1 …, 2013
72013
EusDisParser: improving an under-resourced discourse parser with cross-lingual data
M Iruskieta, C Braud
Proceedings of the Workshop on Discourse Relation Parsing and Treebanking …, 2019
62019
When does deep multi-task learning work for loosely related document classification tasks?
E Kerinec, C Braud, A Søgaard
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
62018
Aligning discourse and argumentation structures using subtrees and redescription mining
L Huber, Y Toussaint, C Roze, M Dargnat, C Braud
Proceedings of the 6th Workshop on Argument Mining, 35-40, 2019
52019
Investigation par méthodes d'apprentissage des spécificités langagières propres aux personnes avec schizophrénie
M Amblard, C Li, C Braud, C Demily, N Franck, M Musiol
6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition …, 2020
32020
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification
C Roze, C Braud, P Muller
Annual SIGdial Meeting on Discourse and Dialogue, 2019
22019
Identifier les relations discursives implicites en combinant données naturelles et données artificielles
C Braud, P Denis
Lavoisier (Hermes Science Publications)/ATALA (Association pour le …, 2014
22014
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Artikelen 1–20