| Comparing word representations for implicit discourse relation classification C Braud, P Denis Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 81 | 2015 |
| Cross-lingual RST discourse parsing C Braud, M Coavoux, A Søgaard arXiv preprint arXiv:1701.02946, 2017 | 71 | 2017 |
| 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 | 64 | 2019 |
| Multi-view and multi-task training of RST discourse parsers C Braud, B Plank, A Søgaard Conference on Computational Linguistics (CoLing), 1903-1913, 2016 | 43 | 2016 |
| 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 | 43 | 2012 |
| Learning Connective-based Word Representations for Implicit Discourse Relation Identification C Braud, P Denis Empirical Methods in Natural Language Processing (EMNLP 2016), 2016 | 35 | 2016 |
| Combining natural and artificial examples to improve implicit discourse relation identification C Braud, P Denis coling, 2014 | 35 | 2014 |
| 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 | 28 | 2021 |
| 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 | 22 | 2019 |
| Cross-lingual and cross-domain discourse segmentation of entire documents C Braud, O Lacroix, A Søgaard arXiv preprint arXiv:1704.04100, 2017 | 20 | 2017 |
| 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 | 16 | 2017 |
| Is writing style predictive of scientific fraud? C Braud, A Søgaard arXiv preprint arXiv:1707.04095, 2017 | 9 | 2017 |
| 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 | 7 | 2013 |
| 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 | 6 | 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 | 5 | 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 | 5 | 2018 |
| 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 | 4 | 2021 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 2 | 2014 |
