This paper presents a generative large language model (LLM)- guided approach to detect discursive patterns in Dutch social media.

We present an industry use case in which we discuss the practical use of a formal list of definitions. The list of definitions will be used as a basis for a knowledge graph that will serve knowledge panels when interacting with information in the company and that will help improve question answering …

In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

Many product innovations can benefit from being more adaptive to their environment. Learning adaptive behavior can be time sensitive and complex. For that purpose we created a simulation environment with a reinforcement learning component for developing simple adaptive products. The environment models …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …