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Interactive Lecture Notes, Slides and Exercises for the NLP course at DIKU, UCPH

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Natural Language Processing (NDAK18000U)

Course at the University of Copenhagen

Materials from this interactive book are used throughout the Natural Language Processing course at the Department of Computer Science, University of Copenhagen. The official course description can be found here. Materials covered each week are listed below. The course schedule and materials are tentative and subject to minor changes. Most reading material is from Speech and Language Processing by Jurafsky & Martin.

WeekReading (before lecture)Lecture (Tuesday)Lab (Friday & Monday)Lab notebook
36 Chapter 2 up to end of 2.5
Chapter 4 up to end of 4.5
Chapter 5 up to end of 5.6
3. Sep. 2024:
Course Logistics (slides)
Introduction to NLP (slides)
Tokenisation & Sentence Splitting (notes, slides, exercises)
Text Classification (slides)
6. & 9. Sep. 2024:
Jupyter notebook setup, introduction to Colab
Introduction to PyTorch
Project group arrangements
Questions about the course project
lab 1
37 Chapter 3 up to end of 3.5
Chapter 6 up to end of 6.4
Chapter 7 up to end of 7.5
10. Sep. 2024:
Language Modelling (slides)
Word Embeddings (slides)
13. & 16. Sep. 2024:
Word representations and sentiment classification
Project help
lab 2
38 Chapter 7 up to end of 7.6
Chapter 8 up to end of 8.7
17. Sep. 2024:
Recurrent Neural Networks (slides)
Neural Language Models (slides)
20. & 23. Sep. 2024:
Error analysis and explainability
Project help
lab 3
39 Chapter 17 up to end of 17.3
Chapter 19 up to end of 19.2
24. Sep. 2024:
Sequence Labelling (slides, notes)
Parsing (slides)
27. & 30. Sep. 2024:
Sequence labelling and beam search
Project help
lab 4
40 Chapter 8 up to end of 8.8
Chapter 9 up to end of 9.2
Chapter 10 up to end of 10.2
Chapter 11
1. Oct. 2024:
Attention (slides)
Transformers (slides)
4. & 7. Oct. 2024:
Language Models with Transformers and RNNs
Project help
lab 5
41 Chapter 14
Chapter 20
8. Oct. 2024:
Information Extraction (slides)
Question Answering (slides)
11. & 21. Oct. 2024:
In-depth look at Transformers and Multilingual QA
Project help
lab 6
43 Chapter 12
Chapter 13
22. Oct. 2024:
Machine Translation (slides)
Transfer Learning (slides)
25. & 28. Oct. 2024: Project help.
44 Belinkov and Glass, 2019 29. Oct. 2024:
Interpretability (slides)
1. Nov. 2024: Project help.

The easiest way to view the course content is via the static nbviewer. To be able to make changes to the book and render it dynamically, see the installation instructions.

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Interactive Lecture Notes, Slides and Exercises for the NLP course at DIKU, UCPH

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