As a leading European research university, KU Leuven offers a wide variety of academic programs in Dutch and English, nurtured by high quality interdisciplinary research, both at the university and at its internationally acclaimed university hospitals. The University has an annual research spending of over 455 million euro (2015) and over 10.000 researchers participate in curiosity-driven and strategic frontier research, as well as targeted and demand-driven research. KU Leuven research has a strong international reputation with a participation in more than 700 projects of the FP7 & H2020 framework, making it the 6th ranked in the league of HES institutions participating in the Program. On June 14, 2016, Reuters ranked KU Leuven as Europe’s most innovative university in its first-ever ranking of Europe’s top 100 innovative universities (http://www.reuters.com/article/us-innovative-stories-europe-idUSKCN0Z00CT), a list that identifies the educational institutions that are doing the most to advance science, invent new technologies, and help drive the global economy.
The KU Leuven research group that will participate in the PAPUD project is the HCI/LIIR group of the Department of Computer Sciences. The key expertise of LIIR is an implementation of deep learning techniques for text mining and natural language understanding. The research of the LIIR group strives to develop a general framework for information processing of natural language discourse in a multimedia context. The core of the research regards problems of information retrieval, information extraction, linking, summarization and search while dealing with unstructured information and often involving “big data” sets. Fundamental problems with regard to language understanding, information mining and fusion, indexing, and retrieval models are studied. The developed technologies are applied in the domains of legal documents, news, business intelligence, bioinformatics, police and intelligence services, electronic mail, user generated content, and the World Wide Web, and contribute to the field of data science in these areas.
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