• I have been organising some notes on topics I teach.
  • Together with Philip Schulz, I am organising a tutorial on variational inference. The tutorial is modular and some of its modules have already been presented a few times (check the repository for a gist of our schedule).


Unsupervised Language Learning
overview 2018-present (offered in Spring)
Natural Language Models and Interfaces
overview 2018-present (offered in Winter)
Natural Language Processing II
overview 2015-present (offered in Spring)
Bayesian inference for PCFGs
overview March 2017 - 6EC
Parsing as deduction and Monte Carlo sampling for PCFGs
overview June 2015 - 6EC


Featurised EM

In the spring of 2016, I offered a BA project on feature-rich unsupervised alignment models. My student Guido Linders did a great job (thesis, code)!

Slice sampling from PCFGs

In the spring of 2015, I offered a BA project on slice sampling from PCFGs. My student Iason de Bondt did a great job (thesis, code)!