Explore our labs

We try to understand the computational principles underlying natural language understanding by humans and machines, the neural implementation of these principles, their evolutionary origins and their usefulness in language technology.

Our research is in the area of natural language processing, with a specific focus on computational semantics and machine learning from linguistic and multimodal data.

We develop machine learning methods for natural language processing, especially for semantic tasks such as question answering, information extraction, and semantic parsing. We also work on interpretability and controlability of deep learning models.

The Visualisation Lab provides access to facilities and resources for students and researchers who want to work on interactive visual systems. The lab specialises on scientific visualisation, high-performance interactive graphics and XR/MR/VR/AR.

We investigate language and communication in autistic individuals. This includes developing new (experimental) methods to adequately investigate the diverse autistic population across the life-span.

People often reason contrary to the prescriptions of classical logic. We study such cases and hypothesise that they are a consequence of a tendency in human cognition to neglect empty representations.

Our research aims to complement existing approaches to argumentation with linguistically advanced models of argument processing, assessment, and production.