Deep learning approaches have surpassed many traditional machine
learning methods in recent years in a variety of tasks. Besides for
computer vision, this is particularly the case for natural language
processing (NLP) and text mining. In this module, we give an
introduction to basic concepts of deep learning for natural language
processing. To this end, we present NLP tasks and deep learning
architecutes used to solve these tasks. We have a detailed look at word
embeddings and recurrent neural networks, as well as advanced,
state-of-the-art transformer models and generative deep learning
approaches.
- Trainer/in: Aftab Anjum