The main focus of our group is Natural Language Processing (NLP) applied for various tasks and settings with a special emphasis on semantic processing. We teach how to build models that extract meaning from text. Students usually work in groups to create interesting experiments, demos, and applications, that use methods of machine learning, deep learning, to solve various NLP tasks. We try to design each project so that it has the potential to mature into a real application or experiment which an be presented at an international scientific conference, such as ACL, EMNLP, LREC, or the associated workshops.
We offer our students interesting topics that allow them to work on our projects and doing real scientific work. This involves close collaboration with the research scientists and Ph.D. students of our group, but also eventually collaborators in the University of Hamburg, University of Halle, and some other our close collaborators so the students get sufficient support.
Currently enrolled master students: