coastalcph / nlp-course

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

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.

Week	Reading (before lecture)	Lecture (Tuesday)	Lab (Friday & Monday)	Lab notebook
36	Chapter 2 up to end of 2.4 Chapter 4 up to end of 4.4 Chapter 5 up to end of 5.2	5. Sep. 2023: Course Logistics (slides) Introduction to NLP (slides) Tokenisation & Sentence Splitting (notes, slides, exercises) Text Classification (slides)	8. & 11. Sep. 2023: 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 7.4	12. Sep. 2023: Language Modelling (slides) Word Embeddings (slides)	15. & 18. Sep. 2023: Word representations and sentiment classification Project help	lab 2
38	Chapter 7 up to end of 7.5 Chapter 9 up to end of 9.2	19. Sep. 2023: Recurrent Neural Networks (slides) Neural Language Models (slides)	22. & 25. Sep. 2023: Error analysis and explainability Project help	lab 3
39	Chapter 8 up to end of 8.3 Chapter 18 up to end of 18.2	26. Sep. 2023: Sequence Labelling (slides, notes) Parsing (slides)	29. Sep. & 2. Oct. 2023: Sequence labelling and beam search Project help	lab 4
40	9.8 Chapter 10 Chapter 11	3. Oct. 2023: Attention (slides) Transformers (slides)	6. & 9. Oct. 2023: Language Models with Transformers and RNNs Project help	lab 5
41	Chapter 14	10. Oct. 2023: Information Extraction (slides) Question Answering (slides)	13. & 23. Oct. 2023: In-depth look at Transformers and Multilingual QA Project help	lab 6
43	Chapter 13 Wang, 2019	24. Oct. 2023: Machine Translation (slides) Transfer Learning (slides)	27. & 30. Oct. 2023: Project help.
44	Belinkov and Glass, 2019	31. Oct. 2023: Interpretability (slides)	3. Nov. 2023: 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.