L'extraction d'information dans des données non structurées est un domaine vaste et relativement nouveau. Ce projet de recherche sera axé sur l'extraction d'information de rapports et nouvelles sur le secteur financier, plus précisément le marché des produits de base. Cela comprend le traitement des langues naturelles (TLN), les systèmes experts (comme les systèmes basés sur […]

Information extraction from unstructured data is a wide and relatively recent domain. For this research project, the focus will be on the information extraction from finance reports and news, more precisely related to the commodities market. This includes Natural Language Processing (NLP), expert systems (such as ontology-based systems) and information fusion as tools for analysing […]

  This project pertains to the modeling, detection, and monitoring of crises in geopolitical dynamic environments. As risks are inherent to crises, we need tools to cope with the uncertainty factors involved in these situations. The objective of this project is to conduct research activities to support the understanding of crisis situations and to model […]

  We propose development and validation of novel mathematical tools which can be used for information processing for object and/or model identification and detection within decision support systems (DSS) in various decision frameworks such as situation assessment and analysis, genetic modeling and analysis, medical imaging, etc. The project will have two main novel contributions: (1) […]