Deep learning is the predominant machine learning paradigm in natural language processing (NLP). This approach not only gave huge performance improvements across a large variety of natural language processing tasks. It also allowed for a much easier integration of real world knowledge and visual information into NLP systems. However, a big problem of deep learning is the need for massive amounts of training data. Therefore in some of the topics you have to look into methods that can cope with this issue, e.g. by automatically creating noisy training data.
Lecturer: Dietrich Klakow
Location: to be announced
Time: block course in the fall break 2022
Application for participation: will follow
Exam date: there is a nominal exam date of December 2nd in order to create a HISPOS registration deadline. Please keep that in mind and register in time in HISPOS.
List of Topics: