This course is a follow-up to IE 661 Text Analytics, where basic concepts and methods for natural languange processing (NLP) are introduced. In this course, we dive deep into the latest state-of-the-art methods for NLP. This means this course is heavily focused on deep learning. Among other things, we will take a close look at the transformer architecture and its applications, including the design, training and applications of large language models. We will also discuss several NLP tasks, such as question answering, text summarization and dialogue systems.
Time and Location
Grading / Evaluation
Course materials and up-to-date information can be found in our ILIAS group.