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Marie-Jean Meurs
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- affiliation: University of Quebec in Montreal (UQAM), Canada
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2020 – today
- 2024
- [c49]Diego Maupomé, Fanny Rancourt, Raouf Moncef Belbahar, Marie-Jean Meurs:
A Pretrained Language Model for Mental Health Risk Detection (short paper). ML4CMH@AAAI 2024: 23-28 - [c48]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: 841-850 - 2023
- [c47]Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). AAAI 2023: 16196-16197 - [c46]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: 718-726 - [c45]Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Adversarial Adaptation for French Named Entity Recognition. ECIR (2) 2023: 386-395 - [c44]Sathurshan Arulmohan, Marie-Jean Meurs, Sébastien Mosser:
Extracting Domain Models from Textual Requirements in the Era of Large Language Models. MoDELS (Companion) 2023: 580-587 - [i11]Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Adversarial Adaptation for French Named Entity Recognition. CoRR abs/2301.05220 (2023) - 2022
- [j7]Diego Maupomé, Marie-Jean Meurs:
Contextualizer: Connecting the Dots of Context with Second-Order Attention. Inf. 13(6): 290 (2022) - [c43]Marc Queudot, Louis Marceau, Raouf Moncef Belbahar, Eric Charton, Marie-Jean Meurs:
Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems. Canadian AI 2022 - [c42]Fanny Rancourt, Diego Maupomé, Marie-Jean Meurs:
On the Influence of Annotation Quality in Suicidal Risk Assessment from Text. Canadian AI 2022 - [c41]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: 936-946 - [c40]Anne Bergeron, Marie-Jean Meurs, Romy Valiquette-Labonté, Krister M. Swenson:
On the Comparison of Bacteriophage Populations. RECOMB-CG 2022: 3-20 - [i10]Louis Marceau, Raouf Moncef Belbahar, Marc Queudot, Eric Charton, Marie-Jean Meurs:
Quick Starting Dialog Systems with Paraphrase Generation. CoRR abs/2204.02546 (2022) - [i9]Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. CoRR abs/2212.03692 (2022) - [i8]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 abs/2212.13317 (2022) - [i7]Khalid Moustapha Askia, Marie-Jean Meurs:
Personalized Student Attribute Inference. CoRR abs/2212.14682 (2022) - 2021
- [c39]Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Models for Assessment of Mental Health Issues. Canadian AI 2021 - [c38]Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Modeling in Embedding Spaces for Depression Assessment. Canadian AI 2021 - [c37]Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs:
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. Canadian AI 2021 - [c36]Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs:
Position Encoding Schemes for Linear Aggregation of Word Sequences. Canadian AI 2021 - [c35]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: 1031-1045 - [i6]Diego Maupomé, Marie-Jean Meurs:
An Iterative Contextualization Algorithm with Second-Order Attention. CoRR abs/2103.02190 (2021) - 2020
- [c34]Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim, Marie-Jean Meurs:
Classification of Rare Recipes Requires Linguistic Features as Special Ingredients. Canadian AI 2020: 426-437 - [c33]Khalid Moustapha Askia, Marie-Jean Meurs:
Personalized Student Attribute Inference. Canadian AI 2020: 553-557 - [c32]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 - [c31]Diego Maupomé, Marie-Jean Meurs:
Language Modeling with a General Second-Order RNN. LREC 2020: 4749-4753 - [c30]Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim, Marie-Jean Meurs:
Cooking Up a Neural-based Model for Recipe Classification. LREC 2020: 5000-5009 - [c29]Elham Mohammadi, Louis Marceau, Eric Charton, Leila Kosseim, Luka Nerima, Marie-Jean Meurs:
Du bon usage d'ingrédients linguistiques spéciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes ). JEP-TALN-RECITAL (2) 2020: 81-94
2010 – 2019
- 2019
- [c28]Diego Maupomé, Marc Queudot, Marie-Jean Meurs:
Inter and Intra Document Attention for Depression Risk Assessment. Canadian AI 2019: 333-341 - [c27]Diego Maupomé, Marie-Jean Meurs:
Multiplicative Models for Recurrent Language Modeling. CICLing (1) 2019: 332-341 - [e1]Marie-Jean Meurs, Frank Rudzicz:
Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28-31, 2019, Proceedings. Lecture Notes in Computer Science 11489, Springer 2019, ISBN 978-3-030-18304-2 [contents] - [i5]Diego Maupomé, Marie-Jean Meurs:
Multiplicative Models for Recurrent Language Modeling. CoRR abs/1907.00455 (2019) - [i4]Diego Maupomé, Marc Queudot, Marie-Jean Meurs:
Inter and Intra Document Attention for Depression Risk Assessment. CoRR abs/1907.00462 (2019) - 2018
- [j6]Hayda Almeida, Ludovic Jean-Louis, Marie-Jean Meurs:
An open source and modular search engine for biomedical literature retrieval. Comput. Intell. 34(1): 200-218 (2018) - [c26]Antoine Briand, Hayda Almeida, Marie-Jean Meurs:
Analysis of Social Media Posts for Early Detection of Mental Health Conditions. Canadian AI 2018: 133-143 - [c25]Diego Maupomé, Marie-Jean Meurs:
Using Topic Extraction on Social Media Content for the Early Detection of Depression. CLEF (Working Notes) 2018 - [c24]Marc Queudot, Marie-Jean Meurs:
Artificial Intelligence and Predictive Justice: Limitations and Perspectives. IEA/AIE 2018: 889-897 - [c23]Antoine Briand, Sara Zacharie, Ludovic Jean-Louis, Marie-Jean Meurs:
Identification of Sensitive Content in Data Repositories to Support Personal Information Protection. IEA/AIE 2018: 898-910 - 2017
- [c22]Marc Sarfati, Marc Queudot, Catherine Mancel, Marie-Jean Meurs:
Knowledge Discovery in Graphs Through Vertex Separation. Canadian AI 2017: 203-214 - [c21]Hayda Almeida, Antoine Briand, Marie-Jean Meurs:
Detecting Early Risk of Depression from Social Media User-generated Content. CLEF (Working Notes) 2017 - [c20]Hayda Almeida, Marc Queudot, Leila Kosseim, Marie-Jean Meurs:
Supervised Methods to Support Online Scientific Data Triage. MCETECH 2017: 213-221 - [i3]Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio:
Independently Controllable Factors. CoRR abs/1708.01289 (2017) - 2016
- [c19]Hayda Almeida, Ludovic Jean-Louis, Marie-Jean Meurs:
Mining Biomedical Literature: An Open Source and Modular Approach. Canadian AI 2016: 168-179 - [c18]Marie-Jean Meurs, Hayda Almeida, Ludovic Jean-Louis, Eric Charton:
SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking. LREC 2016 - [c17]Hayda Almeida, Marc Queudot, Marie-Jean Meurs:
Automatic Triage of Mental Health Online Forum Posts: CLPsych 2016 System Description. CLPsych@HLT-NAACL 2016: 183-187 - [c16]Eric Charton, Nizar Ghoula, Marie-Jean Meurs:
Open Data for Local Search: Challenges and Perspectives. WWW (Companion Volume) 2016: 641-644 - [p1]Hafedh Mili, Imen Benzarti, Marie-Jean Meurs, Abdellatif Obaid, Javier Gonzalez-Huerta, Narjes Haj-Salem, Anis Boubaker:
Context Aware Customer Experience Management: A Development Framework Based on Ontologies and Computational Intelligence. Sentiment Analysis and Ontology Engineering 2016: 273-311 - 2015
- [j5]Kimchi Strasser, Erin McDonnell, Carol Nyaga, Min Wu, Sherry Wu, Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Justin Powlowski, Gregory Butler, Adrian Tsang:
mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. Database J. Biol. Databases Curation 2015 (2015) - [c15]Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Adrian Tsang:
Supporting HIV literature screening with data sampling and supervised learning. BIBM 2015: 491-496 - 2014
- [j4]Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon:
Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining. Informatics 1(1): 32-51 (2014) - [c14]Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon:
Mutual Disambiguation for Entity Linking. ACL (2) 2014: 476-481 - [c13]Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon:
Improving Entity Linking using Surface Form Refinement. LREC 2014: 4609-4615 - 2013
- [c12]Fedor Bakalov, Marie-Jean Meurs, Birgitta König-Ries, Bahar Sateli, René Witte, Greg Butler, Adrian Tsang:
An approach to controlling user models and personalization effects in recommender systems. IUI 2013: 49-56 - [i2]Eric Charton, Ludovic Jean-Louis, Michel Gagnon, Marie-Jean Meurs:
SemLinker system for KBP2013: A disambiguation algorithm based on mutual relations of semantic annotations inside a document. TAC 2013 - 2012
- [j3]Marie-Jean Meurs, Caitlin Murphy, Ingo Morgenstern, Greg Butler, Justin Powlowski, Adrian Tsang, René Witte:
Semantic text mining support for lignocellulose research. BMC Medical Informatics Decis. Mak. 12(S-1): S5 (2012) - [c11]Fedor Bakalov, Marie-Jean Meurs, Birgitta König-Ries, Bahar Sateli, René Witte, Greg Butler, Adrian Tsang:
Personalized semantic assistance for the curation of biochemical literature. BIBM 2012: 1-4 - [c10]Fedor Bakalov, Bahar Sateli, René Witte, Marie-Jean Meurs, Birgitta König-Ries:
Natural Language Processing for Semantic Assistance in Web Portals. ICSC 2012: 67-74 - 2011
- [j2]Mohamed Didi Biha, Marie-Jean Meurs:
An exact algorithm for solving the vertex separator problem. J. Glob. Optim. 49(3): 425-434 (2011) - [c9]Marie-Jean Meurs, Caitlin Murphy, Nona Naderi, Ingo Morgenstern, Carolina Cantu, Shary Semarjit, Greg Butler, Justin Powlowski, Adrian Tsang, René Witte:
Towards Evaluating the Impact of Semantic Support for Curating the Fungus Scientic Literature. CSWS 2011: 34-39 - 2010
- [j1]Marie-Jean Meurs, Fabrice Lefèvre, Renato de Mori:
Approche bayésienne de la composition sémantique dans les systèmes de dialogue oral. Ingénierie des Systèmes d Inf. 15(2): 49-71 (2010) - [c8]Marie-Jean Meurs, Fabrice Lefèvre:
Processus de décision à base de SVM pour la composition d'arbres de frames sémantiques. TALN (Articles courts) 2010: 141-146
2000 – 2009
- 2009
- [b1]Marie-Jean Meurs:
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). University of Avignon, France, 2009 - [c7]Marie-Jean Meurs, Fabrice Lefèvre, Renato de Mori:
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition. ICASSP 2009: 4773-4776 - [c6]Marie-Jean Meurs, Fabrice Lefèvre, Renato de Mori:
Learning Bayesian Networks for Semantic Frame Composition in a Spoken Dialog System. HLT-NAACL (Short Papers) 2009: 61-64 - 2008
- [c5]Frédéric Duvert, Marie-Jean Meurs, Christophe Servan, Frédéric Béchet, Fabrice Lefèvre, Renato de Mori:
Semantic composition process in a speech understanding system. ICASSP 2008: 5029-5032 - [c4]Marie-Jean Meurs, Fabrice Lefèvre, Renato de Mori:
A Bayesian approach to semantic composition for spoken language interpretation. INTERSPEECH 2008: 1161-1164 - [c3]Marie-Jean Meurs, Frédéric Duvert, Frédéric Béchet, Fabrice Lefèvre, Renato de Mori:
Semantic Frame Annotation on the French MEDIA corpus. LREC 2008 - [c2]Marie-Jean Meurs, Frédéric Duvert, Frédéric Béchet, Fabrice Lefèvre, Renato De Mori:
Annotation en Frames Sémantiques du corpus de dialogue MEDIA. TALN (Articles courts) 2008: 199-208 - 2007
- [c1]Mohamed Didi Biha, Bangaly Kaba, Marie-Jean Meurs, Eric SanJuan:
Graph Decomposition Approaches for Terminology Graphs. MICAI 2007: 883-893 - [i1]Marie-Jean Meurs:
Approche polyedrale pour le probleme du separateur (VSP). CoRR abs/0711.3149 (2007)
Coauthor Index
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