Block Seminar Machine Learning for Natural Language Processing (Fall 2023)

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 2023

Application for participation:  will follow

Exam date:tbd.

List of Topics: