Maël Houbre



Email: mael.houbre@univ-nantes.fr

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Hi!

My name is Maël, I am a PhD student in the TALN team at the LS2N (Laboratoire des Sciences Numériques de Nantes) in Nantes,France. I work under the supervision of Béatrice Daille and Florian Boudin. My work focuses on keyphrase generation for scientific indexing.

My interests go from analyzing techniques to represent similar documents, to looking at different ways to improve absent keyphrase generation. I also enjoy working in low resources conditions and study unsupervised training.

My work is funded by the ANR DELICES project.

I have a Master's degree in Computer Sciences from the French engineering school Telecom Nancy of the "Institut National Polytechnique Grand Est". Before entering this school I studied two years in a "Classe Préparatoire aux Grandes Ecoles" in the French Navy High School of Brest.

Collaborations

Oct 2023 -- Mar 2024: Research internship at the Aizawa Lab at the National Institute of Informatics of Tokyo on "Deep analysis of scientific articles". Internship under the supervision of professor Aizawa Akiko.

Publications

Self-Compositional Data Augmentation for Scientific Keyphrase Generation - Maël Houbre, Florian Boudin, Béatrice Daille and Akiko Aizawa Proceedings of Joint Conference on Digital Libraries (JCDL 2024)

A Large-Scale Dataset for Biomedical Keyphrase Generation - Maël Houbre, Florian Boudin, and Béatrice Daille Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022)

Classification de relation pour la génération de mots-clés absents - Maël Houbre, Florian Boudin, and Béatrice Daille 18e Conférence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conférence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, 2023, Paris, France.

Teaching

Sep 2022 -- Dec 2022 Introduction to Computer Sciences University of Nantes

Jan 2023 -- Apr 2023 Databases 101 University of Nantes

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