Research Center for Digital Sustainability

Topic Modeling for Swiss Court Rulings

Joel Niklaus is a PhD student in the research project NRP77 "Open Justice vs. Privacy" at the Digital Sustainability Research Center at the Institute for Computer Science at the University of Bern. His work focuses on the anonymization and de-anonymization of court decisions. Joel Niklaus graduated in 2019 from the University of Bern with a Master's degree in Computer Science with a focus on Data Science and Sports Science. In his master thesis, he worked out artificial intelligence for Jass on the level of strong amateur players. From 2016 - 2020 he was a lecturer for ICT and the compulsory subject of computer science at Swiss high schools.

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  • Natural Language Processing (NLP)
    • Information Extraction (IE)
    • Knowledge Graphs (KG)
  • Game AIs
    • Monte Carlo Tree Search (MCTS)
    • Neuronal Networks (NN)
    • Reinforcement Learning (RL)

Please find a list with good resources to learn topics in NLP:

Publications

Google Scholar

  • J Niklaus, M Alberti, R Ingold, M Stolze, T Koller "Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass" - International Conference on Artificial Intelligence and Soft Computing
  • J. Niklaus, M. Alberti, V. Pondenkandath, R. Ingold, M. Liwicki "Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass" SDS 2019 - 6th Swiss Conference on Data Science
  • Z. Zhao, J. Carrera, J. Niklaus, T. Braun "Machine Learning-Based Real-Time Indoor Landmark Localization" WWIC 2018 - International Conference on Wired/Wireless Internet Communication

Talks

  • Pediatric Boneage Prediction @ PyData Zurich, November 2018

Posters

  • ESRA: An End-to-End System for Re-identification and Anonymization for Swiss Court Rulings @ Advanced Language Processing Winter School (ALPS) 2021, January 2021
  • Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass @ AAAI Workshop on Reinforcement Learning in Games (RLG), February 2020
  • Comparing Learning and Search Algorithms in the Swiss Card Game Jass @ Applied Machine Learning Days (AMLD), January 2020

Please find available topics here. In case you have your own ideas related to my research interests feel free to drop me an email. I am looking forward to hearing from you.