Research

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.

Recent news:

• ChatGPT presentation at AMU with Frédéric Bechet.
• In charge of industry relations at Polytech CS dept.
• I am now a full professor at Polytech Marseille.
• I defended my HDR (habilitation to lead research) in 2019. I am co-head of multimodality in the CNRS GdR on NLP.
• Popularization days at CNRS headquarters in Paris.
• My work in the press.

Teaching

• Master IAAA: Artificial Intelligence and Machine Learning
• ILCB Summer school: Advanced Machine learning for NLP

Classes:

• PSTALN: Structured Learning for NLP
• DL4NLP: Deep learning for NLP
• Intro to Python programming
• Web programming and applications

Admin

I am the head of the Data Science axis at LIS which encompasses the following research teams:

• Data mining at scale (DANA)
• Data integration, analysis, and management as services (DIAMS)
• Environmental data processing (DINY)
• Machine learning (QARMA)
• Information retrieval and recommandation (R2I)
• Natural language processing (TALEP)

Bio

Professor (PR, section 27) at Aix-Marseille University (AMU) / Polytech engineering school since 2021. Member of the NLP group at Laboratoire d'Informatique et Systemes (LIS) / CNRS UMR7020.

In 2018-2019, I spent a nine month sabbatical at Queensland University of Technology Brisbane in Australia. In 2010-2021, I was Maitre de Conférence (MCF) at the computer science department of AMU. In 2009, I was postdoc at Laboratoire d'Informatique de l'Université du Maine (LIUM) and postdoc at International Computer Science Institute, Berkeley in 2007-2009. I graduated from Université d'Avignon et des Pays de Vaucluse, at Laboratoire d'Informatique d'Avignon (LIA).

Papers

Latest papers:

• Emmanuelle Salin et al., "Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective", Conference of Association for the Advancement of Artificial Intelligence (AAAI), 2022.
• Simon Lupart et al., "Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic", AAAI-22 Workshop on Scientific Document Understanding, 2022.
• Baptiste Blouin et al., "Transferring Modern Named Entity Recognition to the Historical Domain: How to Take the Step?", ICON Workshop on Natural Language Processing for Digital Humanities, 2021.

All publications

Contact

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