Machine Learning for Natural Language Processing

Organizer: Prof. Dr. Andreas Hotho, Elisabeth Fischer


This lecture provides an introduction to advanced topics in the area of Natural language processing, with a focus on Deep Learning-based methods.

Some topics of the lecture are:

Neural Networks

• Introduction to Neural Networks, Backpropagation
• Convolutional Neural Networks
• Recurrent Neural Networks
• Transformers and Large Language Models
• Introduction to PyTorch

NLP Topics:

• Word Embeddings
• Sentiment Analysis
• Text Generation

Organisation

The first lecture will be on Tuesday, April 14th, 12:30 - 14:00 in room 00.002 in the CAIDAS building. The remaining lectures will be held in room 0.001 in the ZPD building.