An Integrated Reading and Editing Environment for Scholarly Research on Literary Works and Their Handwritten Sources. - Eric Lecolinet; Laurence Likforman-Sulem; Laurent Robert; François Role; Jean-Louis Lebrave (ACM DL, 1998)

Dealing with large documents in the Digital Library : a case study of ETD documents. - François Role; Stéphane Chaudiron; Madjid Ihadjadene (ELPUB, 2001)

Text-image Coupling for Editing Literary Sources. - Eric Lecolinet; Laurent Robert; François Role (Comput. Humanit., 2002)

Construction incrémentale d'une ontologie par analyse du texte et de la structure des documents. - François Role; Guillaume Rousse (Document Numérique, 2006)

Large-Scale Knowledge Acquisition from Botanical Texts. - François Role; Milagros Fernández Gavilanes; Éric Villemonte de la Clergerie (NLDB, 2007)

PPMI : étude formelle d'une variante à valeurs positives de la PMI. - François Role; Mohamed Nadif (EGC, 2011)

Handling the Impact of Low Frequency Events on Co-occurrence based Measures of Word Similarity - A Case Study of Pointwise Mutual Information. - François Role; Mohamed Nadif (KDIR, 2011)

Beyond cluster labeling: Semantic interpretation of clusters' contents using a graph representation. - François Role; Mohamed Nadif (Knowl. Based Syst., 2014)

Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity. - Melissa Ailem; François Role; Mohamed Nadif (CIKM, 2015)

Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. - Aghiles Salah; Nicoleta Rogovschi; François Role; Mohamed Nadif (EGC, 2015)

Unsupervised text mining for assessing and augmenting GWAS results. - Melissa Ailem; François Role; Mohamed Nadif; Florence Demenais (J. Biomed. Informatics, 2016)

Graph modularity maximization as an effective method for co-clustering text data. - Melissa Ailem; François Role; Mohamed Nadif (Knowl. Based Syst., 2016)

Model-based co-clustering for the effective handling of sparse data. - Melissa Ailem; François Role; Mohamed Nadif (Pattern Recognit., 2017)

Sparse Poisson Latent Block Model for Document Clustering. - Melissa Ailem; François Role; Mohamed Nadif (IEEE Trans. Knowl. Data Eng., 2017)

Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings. - François Role; Stanislas Morbieu; Mohamed Nadif (CIKM, 2018)

Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract). - Melissa Ailem; François Role; Mohamed Nadif (ICDE, 2018)

How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. - Mira Ait Saada; François Role; Mohamed Nadif (CIKM, 2021)

Unsupervised Methods for the Study of Transformer Embeddings. - Mira Ait Saada; François Role; Mohamed Nadif (IDA, 2021)

Unsupervised and self-supervised deep learning approaches for biomedical text mining. - Mohamed Nadif; François Role (Briefings Bioinform., 2021)

Classification non supervisée de documents à partir des modèles Transformeurs. - Mira Ait Saada; François Role; Mohamed Nadif (EGC, 2022)

Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning. - François Role; Sébastien Meyer; Victor Amblard (CoRR, 2025)