IE 696 Advanced Methods in Text Analytics

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, such as ChatGPT. We will also discuss several NLP tasks, such as question answering, machine translation and dialogue systems.

Time and Location

• Lectures: Tuesdays 13:45 – 15:15 @ B6 26 Room A101
• Tutorials: Wednesdays 08:30–10:00 @ B6 26 Room A101

Grading / Evaluation

• 100% final exam

Instructors

• Dr. Daniel Ruffinelli
• Prof. Dr. Simone Paolo Ponzetto

Attendance

• The course is open to students of the Master Business Informatics, Mannheim Master in Data Science (MMDS) and Mannheim Master in Business Research (MMBR) Information Systems.

Course materials and up-to-date information can be found in our ILIAS group.

• Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, Dan Jurafsky and James H. Martin, (3rd ed.), 2023.
• Natural Language Processing, Yue Zhang and Zhiyang Teng, 2021.
• Natural Language Processing, Jacob Eisenstein, 2018.