Graph Decomposition Approaches for Terminology Graphs. - Mohamed Didi Biha; Bangaly Kaba; Marie-Jean Meurs; Eric SanJuan (MICAI, 2007)

Approche polyedrale pour le probleme du separateur (VSP) - Marie-Jean Meurs (CoRR, 2007)

Semantic composition process in a speech understanding system. - Frédéric Duvert; Marie-Jean Meurs; Christophe Servan; Frédéric Béchet; Fabrice Lefèvre; Renato de Mori (ICASSP, 2008)

A Bayesian approach to semantic composition for spoken language interpretation. - Marie-Jean Meurs; Fabrice Lefèvre; Renato de Mori (INTERSPEECH, 2008)

Semantic Frame Annotation on the French MEDIA corpus. - Marie-Jean Meurs; Frédéric Duvert; Frédéric Béchet; Fabrice Lefèvre; Renato de Mori (LREC, 2008)

Annotation en Frames Sémantiques du corpus de dialogue MEDIA. - Marie-Jean Meurs; Frédéric Duvert; Frédéric Béchet; Fabrice Lefèvre; Renato De Mori (TALN (Articles courts), 2008)

Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition. - Marie-Jean Meurs; Fabrice Lefèvre; Renato de Mori (ICASSP, 2009)

Learning Bayesian Networks for Semantic Frame Composition in a Spoken Dialog System. - Marie-Jean Meurs; Fabrice Lefèvre; Renato de Mori (HLT-NAACL (Short Papers), 2009)

Approche stochastique bayésienne de la composition sémantique pour les modules de compréhension automatique de la parole dans les systèmes de dialogue homme-machine. (A Bayesian Approach of Semantic Composition for Spoken Language Understanding Modules in Spoken Dialog Systems). - Marie-Jean Meurs (2009)

Processus de décision à base de SVM pour la composition d'arbres de frames sémantiques. - Marie-Jean Meurs; Fabrice Lefèvre (TALN (Articles courts), 2010)

Approche bayésienne de la composition sémantique dans les systèmes de dialogue oral. - Marie-Jean Meurs; Fabrice Lefèvre; Renato de Mori (Ingénierie des Systèmes d Inf., 2010)

Towards Evaluating the Impact of Semantic Support for Curating the Fungus Scientic Literature. - Marie-Jean Meurs; Caitlin Murphy; Nona Naderi; Ingo Morgenstern; Carolina Cantu; Shary Semarjit; Greg Butler; Justin Powlowski; Adrian Tsang; René Witte (CSWS, 2011)

An exact algorithm for solving the vertex separator problem. - Mohamed Didi Biha; Marie-Jean Meurs (J. Glob. Optim., 2011)

Personalized semantic assistance for the curation of biochemical literature. - Fedor Bakalov; Marie-Jean Meurs; Birgitta König-Ries; Bahar Sateli; René Witte; Greg Butler; Adrian Tsang (BIBM, 2012)

Natural Language Processing for Semantic Assistance in Web Portals. - Fedor Bakalov; Bahar Sateli; René Witte; Marie-Jean Meurs; Birgitta König-Ries (ICSC, 2012)

Semantic text mining support for lignocellulose research. - Marie-Jean Meurs; Caitlin Murphy; Ingo Morgenstern; Greg Butler; Justin Powlowski; Adrian Tsang; René Witte (BMC Medical Informatics Decis. Mak., 2012)

An approach to controlling user models and personalization effects in recommender systems. - Fedor Bakalov; Marie-Jean Meurs; Birgitta König-Ries; Bahar Sateli; René Witte; Greg Butler; Adrian Tsang (IUI, 2013)

SemLinker system for KBP2013: A disambiguation algorithm based on mutual relations of semantic annotations inside a document. - Eric Charton; Ludovic Jean-Louis; Michel Gagnon; Marie-Jean Meurs (TAC, 2013)

Mutual Disambiguation for Entity Linking. - Eric Charton; Marie-Jean Meurs; Ludovic Jean-Louis; Michel Gagnon (ACL (2), 2014)

Improving Entity Linking using Surface Form Refinement. - Eric Charton; Marie-Jean Meurs; Ludovic Jean-Louis; Michel Gagnon (LREC, 2014)

Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining. - Eric Charton; Marie-Jean Meurs; Ludovic Jean-Louis; Michel Gagnon (Informatics, 2014)

Supporting HIV literature screening with data sampling and supervised learning. - Hayda Almeida; Marie-Jean Meurs; Leila Kosseim; Adrian Tsang (BIBM, 2015)

mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. - Kimchi Strasser; Erin McDonnell; Carol Nyaga; Min Wu; Sherry Wu; Hayda Almeida; Marie-Jean Meurs; Leila Kosseim; Justin Powlowski; Gregory Butler; Adrian Tsang (Database J. Biol. Databases Curation, 2015)

Mining Biomedical Literature: An Open Source and Modular Approach. - Hayda Almeida; Ludovic Jean-Louis; Marie-Jean Meurs (Canadian AI, 2016)

SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking. - Marie-Jean Meurs; Hayda Almeida; Ludovic Jean-Louis; Eric Charton (LREC, 2016)

Automatic Triage of Mental Health Online Forum Posts: CLPsych 2016 System Description. - Hayda Almeida; Marc Queudot; Marie-Jean Meurs (CLPsych@HLT-NAACL, 2016)

Open Data for Local Search: Challenges and Perspectives. - Eric Charton; Nizar Ghoula; Marie-Jean Meurs (WWW (Companion Volume), 2016)

Context Aware Customer Experience Management: A Development Framework Based on Ontologies and Computational Intelligence. - Hafedh Mili; Imen Benzarti; Marie-Jean Meurs; Abdellatif Obaid; Javier Gonzalez-Huerta; Narjes Haj-Salem; Anis Boubaker (Sentiment Analysis and Ontology Engineering, 2016)

Knowledge Discovery in Graphs Through Vertex Separation. - Marc Sarfati; Marc Queudot; Catherine Mancel; Marie-Jean Meurs (Canadian AI, 2017)

Detecting Early Risk of Depression from Social Media User-generated Content. - Hayda Almeida; Antoine Briand; Marie-Jean Meurs (CLEF (Working Notes), 2017)

Supervised Methods to Support Online Scientific Data Triage. - Hayda Almeida; Marc Queudot; Leila Kosseim; Marie-Jean Meurs (MCETECH, 2017)

Independently Controllable Factors. - Valentin Thomas; Jules Pondard; Emmanuel Bengio; Marc Sarfati; Philippe Beaudoin; Marie-Jean Meurs; Joelle Pineau; Doina Precup; Yoshua Bengio (CoRR, 2017)

Analysis of Social Media Posts for Early Detection of Mental Health Conditions. - Antoine Briand; Hayda Almeida; Marie-Jean Meurs (Canadian AI, 2018)

Using Topic Extraction on Social Media Content for the Early Detection of Depression. - Diego Maupomé; Marie-Jean Meurs (CLEF (Working Notes), 2018)

Identification of Sensitive Content in Data Repositories to Support Personal Information Protection. - Antoine Briand; Sara Zacharie; Ludovic Jean-Louis; Marie-Jean Meurs (IEA/AIE, 2018)

Artificial Intelligence and Predictive Justice: Limitations and Perspectives. - Marc Queudot; Marie-Jean Meurs (IEA/AIE, 2018)

An open source and modular search engine for biomedical literature retrieval. - Hayda Almeida; Ludovic Jean-Louis; Marie-Jean Meurs (Comput. Intell., 2018)

Inter and Intra Document Attention for Depression Risk Assessment. - Diego Maupomé; Marc Queudot; Marie-Jean Meurs (Canadian AI, 2019)

Multiplicative Models for Recurrent Language Modeling. - Diego Maupomé; Marie-Jean Meurs (CICLing (1), 2019)

Personalized Student Attribute Inference. - Khalid Moustapha Askia; Marie-Jean Meurs (Canadian AI, 2020)

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 (Canadian AI, 2020)

Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models. - Diego Maupomé; Maxime D. Armstrong; Raouf Moncef Belbahar; Josselin Alezot; Rhon Balassiano; Marc Queudot; Sébastien Mosser 001; Marie-Jean Meurs (CLEF (Working Notes), 2020)

Language Modeling with a General Second-Order RNN. - Diego Maupomé; Marie-Jean Meurs (LREC, 2020)

Cooking Up a Neural-based Model for Recipe Classification. - Elham Mohammadi; Nada Naji; Louis Marceau; Marc Queudot; Eric Charton; Leila Kosseim; Marie-Jean Meurs (LREC, 2020)

Du bon usage d'ingrédients linguistiques spéciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes ). - Elham Mohammadi; Louis Marceau; Eric Charton; Leila Kosseim; Luka Nerima; Marie-Jean Meurs (JEP-TALN-RECITAL (2), 2020)

Topic Models for Assessment of Mental Health Issues. - Maxime D. Armstrong; Diego Maupomé; Marie-Jean Meurs (Canadian AI, 2021)

Topic Modeling in Embedding Spaces for Depression Assessment. - Maxime D. Armstrong; Diego Maupomé; Marie-Jean Meurs (Canadian AI, 2021)

Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. - Diego Maupomé; Maxime D. Armstrong; Fanny Rancourt; Marie-Jean Meurs (Canadian AI, 2021)

Position Encoding Schemes for Linear Aggregation of Word Sequences. - Diego Maupomé; Fanny Rancourt; Maxime D. Armstrong; Marie-Jean Meurs (Canadian AI, 2021)

Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks. - Diego Maupomé; Maxime D. Armstrong; Fanny Rancourt; Thomas Soulas; Marie-Jean Meurs (CLEF (Working Notes), 2021)

An Iterative Contextualization Algorithm with Second-Order Attention. - Diego Maupomé; Marie-Jean Meurs (CoRR, 2021)

Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems. - Marc Queudot; Louis Marceau; Raouf Moncef Belbahar; Eric Charton; Marie-Jean Meurs (Canadian AI, 2022)

On the Influence of Annotation Quality in Suicidal Risk Assessment from Text. - Fanny Rancourt; Diego Maupomé; Marie-Jean Meurs (Canadian AI, 2022)

Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models. - Seyed Habib Hosseini Saravani; Lancelot Normand; Diego Maupomé; Fanny Rancourt; Thomas Soulas; Sara Besharati; Anaelle Normand; Sébastien Mosser 001; Marie-Jean Meurs (CLEF (Working Notes), 2022)

On the Comparison of Bacteriophage Populations. - Anne Bergeron; Marie-Jean Meurs; Romy Valiquette-Labonté; Krister M. Swenson (RECOMB-CG, 2022)

Quick Starting Dialog Systems with Paraphrase Generation. - Louis Marceau; Raouf Moncef Belbahar; Marc Queudot; Eric Charton; Marie-Jean Meurs (CoRR, 2022)

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. - Arjun Choudhry; Pankaj Gupta 004; Inder Khatri; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (CoRR, 2022)

Automatic Text Simplification of News Articles in the Context of Public Broadcasting. - Diego Maupomé; Fanny Rancourt; Thomas Soulas; Alexandre Lachance; Marie-Jean Meurs; Desislava Aleksandrova; Olivier Brochu Dufour; Igor Pontes; Rémi Cardon; Michel Simard; Sowmya Vajjala (CoRR, 2022)

Contextualizer: Connecting the Dots of Context with Second-Order Attention. - Diego Maupomé; Marie-Jean Meurs (Inf., 2022)

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). - Arjun Choudhry; Pankaj Gupta 004; Inder Khatri; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (AAAI, 2023)

Lightweight Methods for Early Risk Detection. - Diego Maupomé; Thomas Soulas; Fanny Rancourt; Ghyslain Cantin-Savoie; Grégoire Winterstein; Sébastien Mosser 001; Marie-Jean Meurs (CLEF (Working Notes), 2023)

Adversarial Adaptation for French Named Entity Recognition. - Arjun Choudhry; Inder Khatri; Pankaj Gupta 004; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (ECIR (2), 2023)

Extracting Domain Models from Textual Requirements in the Era of Large Language Models. - Sathurshan Arulmohan; Marie-Jean Meurs; Sébastien Mosser 001 (MoDELS (Companion), 2023)

A Pretrained Language Model for Mental Health Risk Detection (short paper). - Diego Maupomé; Fanny Rancourt; Raouf Moncef Belbahar; Marie-Jean Meurs (ML4CMH@AAAI, 2024)

Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires. - Diego Maupomé; Yves Ferstler; Sébastien Mosser 001; Marie-Jean Meurs (CLEF (Working Notes), 2024)