Chloé Braud
Chloé Braud
Synalp, LORIA, CNRS (Nancy)
Bestätigte E-Mail-Adresse bei loria.fr - Startseite
TitelZitiert vonJahr
Comparing word representations for implicit discourse relation classification
C Braud, P Denis
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
492015
Vers le FDTB: French discourse tree bank
L Danlos, D Antolinos-Basso, C Braud, C Roze
372012
Cross-lingual RST discourse parsing
C Braud, M Coavoux, A Søgaard
arXiv preprint arXiv:1701.02946, 2017
282017
Combining natural and artificial examples to improve implicit discourse relation identification
C Braud, P Denis
Proceedings of COLING 2014, the 25th International Conference on …, 2014
262014
Multi-view and multi-task training of RST discourse parsers
C Braud, B Plank, A Søgaard
Proceedings of COLING 2016, the 26th International Conference on …, 2016
182016
Learning Connective-based Word Representations for Implicit Discourse Relation Identification
C Braud, P Denis
Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
152016
Cross-lingual and cross-domain discourse segmentation of entire documents
C Braud, O Lacroix, A Søgaard
arXiv preprint arXiv:1704.04100, 2017
112017
Identification automatique des relations discursives" implicites" à partir de données annotées et de corpus bruts
C Braud, P Denis
62013
Is writing style predictive of scientific fraud?
C Braud, A Søgaard
arXiv preprint arXiv:1707.04095, 2017
32017
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
22019
Does syntax help discourse segmentation? Not so much
C Braud, O Lacroix, A Søgaard
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
22017
Identifier les relations discursives implicites en combinant données naturelles et données artificielles
C Braud, P Denis
22014
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
12019
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification
C Roze, C Braud, P Muller
12019
Alignement de Structures Argumentatives et Discursives par Fouille de Graphes et de Redescriptions
L Huber, Y Toussaint, C Roze, M Dargnat, C Braud
2019
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
2019
EusDisParser: improving an under-resourced discourse parser with cross-lingual data
C Braud, M Iruskieta
2019
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
2019
A Model Oriented Approach to the Mapping of Annotation Formats Using Standards
A Zeldes, S Adolphs, R Carter, S Adolphs, D Knight, A O’Keeffe, ...
Multilayer Corpus Studies 1 (1), viii-ix, 2019
2019
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
2018
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