Big Data research

Our research activities focus on the following main areas :
Information Extraction & Knowledge-Base Construction
AIR – Distributed Dataflow Engine based on Asynchronous Iterative Routing

Information Extraction & Knowledge-Base Construction

Past project

In collaboration with the Max-Planck-Institute in Saarbrücken, we investigate the full NLP pipeline for information extraction from natural-language sources, including probabilistic-graphical models for named-entity recognition and disambiguation, relation extraction, and knowledge-base construction. We intensified our collaboration in the context of an FNR-CORE project, which has been accepted for funding at the University of Luxembourg in 2017, and for which the Max-Planck-Institute kindly serves as external collaborator. The project has been concluded in November 2021.