teaching-dl4nlp material
AthNLP 2019
Slides from a 3 hour lecture on "encoder-decoders" at AthNLP 2019 summer school.
Content:
Earlier notebooks
University of Malta 2019
- Notebook slides from a week-long course, which cover a subpart of the material covered above, complemented with exercises and code (Keras).
- Source: https://github.com/bplank/2019-ma-notebook
University of Groningen 2017
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Notebook slides from a quadrisemester long course "Language Technology Project" with code (Keras)
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Course description: In this project-based course, students are going to work on a natural language processing challenge. A challenge is a practical task in NLP related to a particular research topic. The task usually comes with data-sets for training, as well as a precise evaluation metric. The intention is that students familiarize themselves with a selected research topic, implement a solution and present the outcome critically in a term paper. The course is a mix of lectures, exercises and project-based work. The focus of this class is on deep learning (neural networks) for NLP.
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Learning outcomes: After completing this course, students are able to tackle a challenge in Natural Language Processing, implement a solution, and critically assess their solution in the light of recent research papers in Natural Language Processing.