My field of research is natural language processing with a pinch of machine learning.
I focus on semantic content analysis and modeling, multimodal system fusion, and rigorous evaluation of related technologies in realistic applications.
- Master IAAA: Artificial Intelligence and Machine Learning
- ILCB Summer school: Advanced Machine learning for NLP
I am the head of the Data Science axis at LIS which encompasses the following research teams:
In 2018-2019, I spent a nine month sabbatical at Queensland University of Technology Brisbane in Australia.
Formerly postdoc at Laboratoire d'Informatique de l'Université du Maine (LIUM) in 2009 and postdoc at International Computer Science Institute, Berkeley in 2007-2009.
- Simone Fuscone et al., "Reproducibility in speech rate convergence experiments", Language Resources and Evaluation, Springer, pp. 1-16, 2021.
- Simone Fuscone et al., "Neural Representations of Dialogical History for Improving Upcoming Turn Acoustic Parameters Prediction", INTERSPEECH, 2020.
- Thomas Misiek et al., "Development of Multi-level Linguistic Alignment in Child-adult Conversations", Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2020.
Luminy sciences campus, University library building, second floor, office C207
Address: LIS, Parc Scientifique et Technologique de Luminy, 163 avenue de Luminy - Case 901, F-13288 Marseille Cedex 9, France.
Phone: +33 4 86 09 04 67
Email: benoit.favre at univ-amu.fr
Last updated on 2021-10-05