teaching

Courses

• Machine Learning for Language Processing (during 2020-2022 jointly with Ted Briscoe, 2019 jointly with Ryan Cotterell)

• Imitation learning seminar in the context of the Advanced topics in machine learning module (previous years: 2022, 2021, 2020, 2019)

• Machine Learning for Real-world Data, (jointly taught with Simone Teufel and others)

• Natural Language Processing module (2016-2018) (COM4513 and COM6513, teaching materials here). The module is now maintained and delivered by Nikos Aletras

Tutorials, thematic schools, etc.

• Co-Director of Studies for Computer Science at Fitzwilliam College

• Co-organizer of the Athens NLP summer school

• Lecture on Automated Fact-Checking at the 2021 Oxford Machine Learning Summer School

• Tutorials on imitation learning (webpage) at:
  • European Chapter of the Association for Computational Linguistics 2017
  • the 2016 Lisbon Machine Learning Summer School
  • the machine learning thematic workshop at IRIT in Toulouse
  • See the code here implementing some of the methods described in the tutorial and demonstrated in a jupyter notebook for PoS tagging!

• Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing (video, slides and code) at ACL 2015 with Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel and Tim Rocktäschel.

• Tutorial on Machine Learning for Natural Language Processing (webpage) at the Summer School in Machine Learning for Digital English Language Teaching