Machine Learning for Natural Language Processing

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
• Introduction to PyTorch

NLP Topics:

• Word Embeddings
• Sentiment Analysis
• Parsing
• Text Generation