Intern
    Data Science Chair

    Machine Learning for Natural Language Processing

    Organizer: Prof. Dr. Andreas Hotho, Albin Zehe, Jonas Kaiser


    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 lecture will take place on Tuesday, 12:30 - 14:00 in SE 2 in the CAIDAS building. The first lecture will be on April 23rd, 2024.

    All important information and material (announcements, slides, excercise sheets, ...) will be made available on WueCampus. Please register for the WueCampus-course!

    The exam registration will be done via WueStudy.