| 2025 | Interspeech | CEREALES : a new dataset of Quebec French accented speech with applications to speech recognition. | Lucas Maison, Thomas Soulas, Marie-Jean Meurs |
| 2024 | AAAI | A Pretrained Language Model for Mental Health Risk Detection (short paper). | Diego Maupom, Fanny Rancourt, Raouf Moncef Belbahar, Marie-Jean Meurs |
| 2023 | AAAI | Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). | Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma |
| 2023 | ECIR | Adversarial Adaptation for French Named Entity Recognition. | Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma |
| 2023 | MODELS | Extracting Domain Models from Textual Requirements in the Era of Large Language Models. | Sathurshan Arulmohan, Marie-Jean Meurs, Sbastien Mosser |
| 2022 | AI | Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems. | Marc Queudot, Louis Marceau, Raouf Moncef Belbahar, Eric Charton, Marie-Jean Meurs |
| 2022 | AI | On the Influence of Annotation Quality in Suicidal Risk Assessment from Text. | Fanny Rancourt, Diego Maupom, Marie-Jean Meurs |
| 2021 | AI | Topic Models for Assessment of Mental Health Issues. | Maxime D. Armstrong, Diego Maupom, Marie-Jean Meurs |
| 2021 | AI | Topic Modeling in Embedding Spaces for Depression Assessment. | Maxime D. Armstrong, Diego Maupom, Marie-Jean Meurs |
| 2021 | AI | Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. | Diego Maupom, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs |
| 2021 | AI | Position Encoding Schemes for Linear Aggregation of Word Sequences. | Diego Maupom, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs |
| 2020 | AI | Personalized Student Attribute Inference. | Khalid Moustapha Askia, Marie-Jean Meurs |
| 2020 | AI | Classification of Rare Recipes Requires Linguistic Features as Special Ingredients. | Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim, Marie-Jean Meurs |
| 2020 | LREC | Language Modeling with a General Second-Order RNN. | Diego Maupom, Marie-Jean Meurs |
| 2020 | LREC | Cooking Up a Neural-based Model for Recipe Classification. | Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim, Marie-Jean Meurs |
| 2019 | AI | Inter and Intra Document Attention for Depression Risk Assessment. | Diego Maupom, Marc Queudot, Marie-Jean Meurs |
| 2019 | CICLING | Multiplicative Models for Recurrent Language Modeling. | Diego Maupom, Marie-Jean Meurs |
| 2018 | AI | Analysis of Social Media Posts for Early Detection of Mental Health Conditions. | Antoine Briand, Hayda Almeida, Marie-Jean Meurs |
| 2017 | AI | Knowledge Discovery in Graphs Through Vertex Separation. | Marc Sarfati, Marc Queudot, Catherine Mancel, Marie-Jean Meurs |
| 2016 | AI | Mining Biomedical Literature: An Open Source and Modular Approach. | Hayda Almeida, Ludovic Jean-Louis, Marie-Jean Meurs |
| 2016 | LREC | SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking. | Marie-Jean Meurs, Hayda Almeida, Ludovic Jean-Louis, Eric Charton |
| 2016 | NAACL | Automatic Triage of Mental Health Online Forum Posts: CLPsych 2016 System Description. | Hayda Almeida, Marc Queudot, Marie-Jean Meurs |
| 2016 | WWW | Open Data for Local Search: Challenges and Perspectives. | Eric Charton, Nizar Ghoula, Marie-Jean Meurs |
| 2014 | ACL | Mutual Disambiguation for Entity Linking. | Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon |
| 2014 | LREC | Improving Entity Linking using Surface Form Refinement. | Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon |
| 2013 | IUI | An approach to controlling user models and personalization effects in recommender systems. | Fedor Bakalov, Marie-Jean Meurs, Birgitta Knig-Ries, Bahar Sateli, Ren Witte, Greg Butler, Adrian Tsang |
| 2009 | ICASSP | Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition. | Marie-Jean Meurs, Fabrice Lefvre, Renato de Mori |
| 2009 | NAACL | Learning Bayesian Networks for Semantic Frame Composition in a Spoken Dialog System. | Marie-Jean Meurs, Fabrice Lefvre, Renato de Mori |
| 2008 | ICASSP | Semantic composition process in a speech understanding system. | Frdric Duvert, Marie-Jean Meurs, Christophe Servan, Frdric Bchet, Fabrice Lefvre, Renato de Mori |
| 2008 | Interspeech | A Bayesian approach to semantic composition for spoken language interpretation. | Marie-Jean Meurs, Fabrice Lefvre, Renato de Mori |
| 2008 | LREC | Semantic Frame Annotation on the French MEDIA corpus. | Marie-Jean Meurs, Frdric Duvert, Frdric Bchet, Fabrice Lefvre, Renato de Mori |