Courses


MS and BS Student Supervision


  • Raluca Alexandra Fetic, MSc in Computer Science student at the University of Copenhagen, "Learning to encode large documents efficiently for stance detection" (2018)
  • Andrea Lekkas and Magnus Alexander Johansen, MSc in Computer Science student at the University of Copenhagen, "Learning to ask questions about products" (2018)
  • Nina Alef, MSc in IT and Cognition student at the University of Copenhagen, "Learning to Predict Personality Traits from Social Media" (2018)
  • Peter Spliid, MSc in Computer Science student at the University of Copenhagen, "A Framework for Typological Evaluation of Language Representations" (with Johannes Bjerva, 2018)
  • Leendert Bastian van Doorn, MSc in Computer Science student at the University of Copenhagen, "Variational encoding of location for dialect-conditional language generation" (with Johannes Bjerva, 2018)
  • Ke Zhai, MSc in Computer Science student at the University of Copenhagen, "Deep Learning of Linguistic Features for Scandinavian Languages" (co-supervised by Johannes Bjerva, 2018)
  • Christoffer Trysøe, Andreas Borgstad and Xuwen Zhang, MSc in Computer Science students at the University of Copenhagen, joint project on "Modelling customer behaviour from clickstream data" (with Fabian Gieseke, 2018)
  • Thomas Nyegaard-Signoria and Casper Veistrup Helms, BSc in Computer Science students at the University of Copenhagen, joint project on "Modelling affect in tweets" (co-supervised by Johannes Bjerva, 2017)
  • Rogan Inglis, MSc in Machine Learning student at University College London, "Machine Reading for Scientific Publications Using Generative Regularisation" (co-supervised by Pasquale Minervini, 2017)
  • Benjamin Riedel, MSc in Machine Learning student at University College London, "Simple yet powerful: A system for news article stance detection" (with George Spithourakis, Sebastian Riedel, 2017)
  • Danish Sheikh, Computer Science MEng student at University College London, "Extracting Keyphrases and Relations from Scientific Publications" (with Sebastian Riedel, 2017)
  • Rupert Chaplin, MSc in Machine Learning student at University College London, "End-to-end Differentiable and Interpretable Deep Learning for Natural Language Programming" (with Tim Rocktäschel, Sebastian Riedel, 2016)
  • Dhruv Ghulati, MSc in Computer Science student at University College London, "Distant Supervision and Cost Sensitive Classification for Weakly Supervised Claim Detection" (with George Spithourakis, Andreas Vlachos, Sebastian Riedel, 2016. Follow-up funding of project provided by Google, see Guardian article.)

Summer Schools


Demonstrating