The core lecture for Deep Learning for Natural Language Processing.

Topics will include Deep Learning foundations (Embeddings, MLP, RNN, CNN, Transformer, etc.) and their application to Natural Language Processing Problems (Part-of-Speech Tagging, Argument Mining, Sentiment Analysis, Dependency Parsing, etc.)