Josef Valvoda

University of Cambridge

I am a second-year PhD student at the University of Cambridge supervised by Professor Simone Teufel. Before joining the Natural Language and Information Processing group I’ve completed the MPhil in Advanced Computer Science also at the University of Cambridge. Before that, I’ve obtained a Bachelor of Law at the University of Exeter. I’m a member of Rycolab at ETH Zurrich and fully funded by the Huaweii Reseach Scholarship.

My PhD work focuses on modeling law using deep learning. I work on what deep learning models can learn, have learned and should learn. I’m on the program committee of the Competition on Legal Information Extraction/Entailment (COLIEE) and review for the International Workshop on Juris-informatics (JURISIN).

You can find me on: Twitter, GitHub, LinkedIn or the department website.

selected publications

  1. NAACL
    What About the Precedent: An Information-Theoretic Analysis of Common Law
    Valvoda, Josef, Pimentel, Tiago, Stoehr, Niklas, Cotterell, Ryan, and Teufel, Simone
  2. ACL
    Information-Theoretic Probing for Linguistic Structure
    Pimentel, Tiago, Valvoda, Josef, Maudslay, Rowan Hall, Zmigrod, Ran, Williams, Adina, and Cotterell, Ryan
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 2020