UdS SNLP Tutorial
Slides for Statistical Natural Language Processing tutorials of Summer 2021 at University of Saarland.
Outline
Schedule (links provided only to semi-finished materials):
- Introduction
- Language Properties
- KL Divergece
- Compression
- Smoothing 1
- Smoothing 2
- Smoothing 3
- Text Classification 1
- Text Classification 2
- Word Sense Disambiguation
- Conditional Random Fields
- Information Retrieval
- Machine Translation (incomplete, skipped)
Contributing
Compile slides using pandoc and the provided script (handout includes notes and disables iterative lists):
- Slides:
./build.sh machine-translation tutorial
- Handout version:
./build.sh machine-translation handout
- Both:
./build.sh machine-translation
Make sure you have pandoc
and texlive
installed. You don't need to build the presentations if you want to contribute - editing the markdown is enough. If you still wish to compile them (great!) and encounter technical issues, contact me.
License
Feel free to update, present and distribute on your own accord. In all cases, however, preserve the names of the previous contributors.