Language Intelligence & Information Retrieval Lab

Department of Computer Science

Welcome to the home page of the Language Intelligence & Information Retrieval (LIIR) lab of KU Leuven, Belgium. We are part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. We study well-informed theoretical models as well as challenging applications, often empowered by big data sets. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction. LIIR is a member of the Leuven Brain Institute (LBI), the Leuven Center on Information and Communications Technology (LICT), the Leuven Big Data Platform and the KU Leuven Institute for Artificial Intelligence. Together with our colleagues at ESAT/PSI of KU Leuven we are a member of the KU Leuven ELLIS Unit. The European Lab for Learning and Intelligent Systems (ELLIS) promotes basic research in machine learning and modern AI, and involves the very best European academics while working together closely with basic researchers from the industry. In this respect we participate in ELISE (EU ict48 call for Networks of Centers of Excellence) that focuses on fundamental research in AI driven by machine learning.

Our alumni have outstanding positions in academics and the industry.

Congratulations to Katrien Laenen, the winner of the Congressi Stefano Franscini Award for the best paper by a junior researcher: Multimodal Neural Machine Translation of Fashion E-commerce Descriptions presented at FACTUM 2019.


LIIR co-organizes Dagstuhl seminar on Joint Processing of Language and Visual Data for Better Automated Understanding from 7-1-2019 till 11-1-2019.