LISN, located on the Orsay campus, is a research laboratory created in January 2021 due to the union of 7 LIMSI research groups and 7 LRI research teams. It is a Joint Research Unit (UMR) with CNRS, University Paris-Saclay, INRIA, and CentraleSupélec. LISN is a multidisciplinary research laboratory that brings together researchers and teacher-researchers from different disciplines in the Engineering and Information Sciences, as well as Life Sciences and Human and Social Sciences.

LISN hosts about 400 people, including 170 researchers and 150 Ph. D students. Its research forces cover a broad spectrum of fundamental and applied computer science and engineering science research. It is composed of five departments corresponding to interdisciplinary themes:

  • Algorithms, Learning and Computation
  • Interaction with Humans
  • Fluid Mechanics and Energy Mechanics
  • Data Science
  • Language Science and Technologies

The departments work together on five cross-cutting actions. The aim is to develop new directions and take advantage of the originality and diversity of the expertise of LISN members.

  • Deep Learning for Physics and Physics for Learning
  • Computer sciences and SHS
  • Arts and Sciences
  • Visualization and exploration of big data
  • Responsible Research

More information

Visit the laboratory website

Download LISN 2022 report

Contact

Director: Sophie ROSSET
sophie.rosset[at]lisn.upsaclay.fr

Latest submissions

Communication on a congress
06/17/2024
Using Structured Health Information for Controlled Generation of Clinical Cases in French
Hugo Boulanger, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol
Communication on a congress
05/22/2024
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark
Nadège Alavoine, Gaëlle Laperriere, Christophe Servan, Sahar Ghannay, Sophie Rosset
Communication on a congress
05/22/2024
A Benchmark Evaluation of Clinical Named Entity Recognition in French
Nesrine Bannour, Christophe Servan, Aurélie Névéol, Xavier Tannier
Communication on a congress
05/22/2024
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?
Christophe Servan, Sahar Ghannay, Sophie Rosset
Communication on a congress
05/20/2024
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains
Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esperança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli, Didier Schwab
Browse all laboratory submissions on HAL