2021
Morteza Kamaladdini Ezzabady, Philippe Muller, Chloé Braud. Multi-lingual Discourse Segmentation and Connective Identification: MELODI at DISRPT 2021. In Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT), 2021. paper
Chuyuan Li, Maxime Amblard, Chloé Braud, Caroline Demily, Nicolas Franck, Michel Musiol. Investigating non lexical markers of the language of schizophrenia in spontaneous conversations. Proceedings of the 2nd workshop on Computational Approaches to Discourse (CODI), 2021 paper
Angela Fan, Claire Gardent, Chloé Braud, and Antoine Bordes. Augmenting Transformers with KNN-Based Composite Memory for Dialog. Transactions of the Association for Computational Linguistics 9 (2021): 82-99. paper
2020
Chuyuan Li, Maxime Amblard, Chloé Braud, Caroline Demily, Nicolas Franck, and Michel Musiol. Investigation des marqueurs langagiers non-lexicaux et spécifiques des personnes souffrant de schizophrénie dans des conversations spontanées, Proceedings of TALN 2020, paper
Papers from students I supervised:
- Comparing PTB and UD information for PDTB discourse connective identification, Proceedings of RECITAL 2020, paper
- Représentation vectorielle de paires de verbes pour la prédiction de relations lexicales, Proceedings of RECITAL 2020, paper
2019
Charlotte Roze, Chloé Braud and Philippe Muller, Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification, Proceedings of SigDial
Laurine Huber, Yannick Toussaint, Charlotte Roze, Mathilde Dargnat and Chloé Braud, Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining, in Proceedings of the 6th Workshop on Argument Mining (ACL 2019), paper
Mikel Iruskieta and Chloé Braud, EusDisParser: improving an under-resourced discourse parser with cross-lingual data, in Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 (NAACL 2019), paper, code
Philippe Muller, Chloé Braud and Mathieu Morey, ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents, in Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 (NAACL 2019), paper, code, poster
Angela Fan, Claire Gardent, Chloé Braud and Antoine Bordes, Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), paper
2018
Emma Kerinec, Chloé Braud and Anders Sogaard, When does deep multi-task learning work for loosely related document classification tasks?, in Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, paper
2017
Chloé Braud and Anders Sogaard, Is writing style predictive of scientific fraud?, in Proceedings of the Workshop on Stylistic Variation (EMNLP 2017), paper
Chloé Braud and Ophélie Lacroix and Anders Sogaard, Does syntax help discourse segmentation? Not so much, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) paper
Chloé Braud and Ophélie Lacroix and Anders Sogaard, Cross-lingual and cross-domain discourse segmentation of entire documents, in Proceedings of the Association for Computational Linguistics (ACL 2017), paper
Chloé Braud and Maximin Coavoux and Anders Sogaard, Cross-lingual RST Discourse Parsing, in Proceedings of the European Chapter of the Association for Computational Linguistics (EACL 2017) paper code
2016
Chloé Braud and Barbara Plank and Anders Sogaard, Multi-view and multi-task training of RST discourse parsers, in Proceedings of the International Conference on Computational Linguistics (COLING 2016), paper code
Chloé Braud and Pascal Denis, Learning Connective-based Word Representations for Implicit Discourse Relation Identification, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), paper data
2015
Chloé Braud, Identification automatique des relations dicursives implicites à partir de corpus annotés et de données brutes, PhD Thesis, University Paris 7 (France) thesis – Prix de la meilleure thèse ATALA 2015 (Best PhD thesis Award), manuscrit
Chloé Braud and Pascal Denis, Comparing Word Representations for Implicit Discourse Relation Classification, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), paper
2014
Chloé Braud and Pascal Denis, Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification, in Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), paper
2013
Chloé Braud et Pascal Denis, Identification automatique des relations discursives “implicites” à partir de données annotées et de corpus bruts, in Actes de la 20e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2013). Volume 1: TALN-RECITAL. pp.104-117 link – Prix du meilleur article TALN (Best Paper Award), paper
2012
Laurence Danlos, Diégo Antolinos-Basso, Chloé Braud et Charlotte Roze, Vers le FDTB : French Discourse Tree Bank, in Actes de la 19e conférence sur le Traitement Automatique des Langues Naturelles (JEP-TALN-RECITAL 2012). Volume 2: TALN. pp.471-478, paper