Benoit Favre
Scholar

Benoit Favre

Google Scholar ID: 4-I6lt8AAAAJ
Professeur CNU 27, LIS UMR 7020, Aix-Marseille University
Natural Language ProcessingSpoken Language UnderstandingParsingMachine Learning
Citations & Impact
All-time
Citations
1,678
 
H-index
21
 
i10-index
47
 
Publications
20
 
Co-authors
43
list available
Contact
Resume (English only)
Academic Achievements
  • 2022: Co-authored 'Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective', AAAI Conference.
  • 2022: Co-authored 'Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic', AAAI-22 Workshop on Scientific Document Understanding.
  • 2021: Co-authored 'Transferring Modern Named Entity Recognition to the Historical Domain: How to Take the Step?', ICON Workshop on NLP for Digital Humanities.
  • Participated in popularization days at CNRS headquarters in Paris.
  • Work featured in the press.
Research Experience
  • 2018–2019: Nine-month sabbatical at Queensland University of Technology, Brisbane, Australia.
  • 2010–2021: Maître de Conférences (MCF) in the Computer Science Department at AMU.
  • 2009: Postdoc at Laboratoire d'Informatique de l'Université du Maine (LIUM).
  • 2007–2009: Postdoc at International Computer Science Institute (ICSI), Berkeley.
  • Head of the Data Science axis at LIS, overseeing research teams: DANA, DIAMS, DINY, QARMA, R2I, and TALEP.
  • In charge of industry relations at Polytech CS department.
Background
  • 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.
  • Co-head of multimodality in the CNRS GdR on NLP.
  • Full professor (PR, section 27) at Aix-Marseille University (AMU) / Polytech engineering school since 2021.
  • Member of the NLP group (TALEP) at Laboratoire d'Informatique et Systèmes (LIS) / CNRS UMR7020.