Diego Maupomé

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Language Modeling

Top Venues

CLEF (Working Notes)

Canadian Conference on AI

Publications

Diego Maupomé, Fanny Rancourt, Raouf Moncef Belbahar, Marie-Jean Meurs
A Pretrained Language Model for Mental Health Risk Detection (short paper). ML4CMH@AAAI (2024)
Diego Maupomé, Yves Ferstler, Sébastien Mosser, Marie-Jean Meurs
Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires. CLEF (Working Notes) (2024)
Diego Maupomé, Thomas Soulas, Fanny Rancourt, Ghyslain Cantin-Savoie, Grégoire Winterstein, Sébastien Mosser, Marie-Jean Meurs
Lightweight Methods for Early Risk Detection. CLEF (Working Notes) (2023)
Fanny Rancourt, Diego Maupomé, Marie-Jean Meurs
On the Influence of Annotation Quality in Suicidal Risk Assessment from Text. AI (2022)
Diego Maupomé, Fanny Rancourt, Thomas Soulas, Alexandre Lachance, Marie-Jean Meurs, Desislava Aleksandrova, Olivier Brochu Dufour, Igor Pontes, Rémi Cardon, Michel Simard, Sowmya Vajjala
Automatic Text Simplification of News Articles in the Context of Public Broadcasting. CoRR (2022)
Seyed Habib Hosseini Saravani, Lancelot Normand, Diego Maupomé, Fanny Rancourt, Thomas Soulas, Sara Besharati, Anaelle Normand, Sébastien Mosser, Marie-Jean Meurs
Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models. CLEF (Working Notes) (2022)
Diego Maupomé, Marie-Jean Meurs
Contextualizer: Connecting the Dots of Context with Second-Order Attention. Inf. 13 (6) (2022)
Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs
Position Encoding Schemes for Linear Aggregation of Word Sequences. Canadian Conference on AI (2021)
Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. Canadian Conference on AI (2021)
Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Thomas Soulas, Marie-Jean Meurs
Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks. CLEF (Working Notes) (2021)
Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs
Topic Models for Assessment of Mental Health Issues. Canadian Conference on AI (2021)
Diego Maupomé, Marie-Jean Meurs
An Iterative Contextualization Algorithm with Second-Order Attention. CoRR (2021)
Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs
Topic Modeling in Embedding Spaces for Depression Assessment. Canadian Conference on AI (2021)
Diego Maupomé, Maxime D. Armstrong, Raouf Moncef Belbahar, Josselin Alezot, Rhon Balassiano, Marc Queudot, Sébastien Mosser, Marie-Jean Meurs
Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models. CLEF (Working Notes) (2020)
Diego Maupomé, Marie-Jean Meurs
Language Modeling with a General Second-Order RNN. LREC (2020)
Diego Maupomé, Marie-Jean Meurs
Multiplicative Models for Recurrent Language Modeling. CoRR (2019)
Diego Maupomé, Marie-Jean Meurs
Multiplicative Models for Recurrent Language Modeling. CICLing (1) (2019)
Diego Maupomé, Marc Queudot, Marie-Jean Meurs
Inter and Intra Document Attention for Depression Risk Assessment. CoRR (2019)
Diego Maupomé, Marc Queudot, Marie-Jean Meurs
Inter and Intra Document Attention for Depression Risk Assessment. Canadian Conference on AI (2019)
Diego Maupomé, Marie-Jean Meurs
Using Topic Extraction on Social Media Content for the Early Detection of Depression. CLEF (Working Notes) (2018)