Short biographyAfter a spell in Physics and Computer Engineering, Michel Généreux completed MA and PhD degrees in Computational Linguistics.
He has occupied research positions in Austria, Denmark and United Kingdom where he has been involved in
national and european projects. He investigated spoken interaction for searching and browsing newspapers,
interactive systems to engage in dialogues with fairy-tales and query databases for cultural heritage.
He is currently a member of the LIPN research group at the University of Paris 13, working in the project
Infom@gic, as part of the French Business Cluster Cap Digital. His recent research interest includes
information extraction, crisis and trading strategy detection in (financial) news items, (web) corpus-based
approaches, as well as classification and summarization of subjective and opiniated texts such as blogs
and consumer reviews.