Publications
For a complete, up-to-date list, please find me
on Google Scholar.
- Joel Niklaus, Magda Chodup, Thomas Lüthi, Daniel Kettiger, “Re-Identifizierung in Gerichtsurteilen mit Simap
Daten” - Pre-Print
- Santosh T.Y.S.S, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus, “Towards Explainability and
Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset” - Natural Legal Language Processing
Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP)
2023 Slides
- Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli, “Automatic Anonymization of Swiss
Federal Supreme Court Rulings” - Natural Legal Language Processing Workshop (NLLP) @ International Conference on
Empirical Methods in Natural Language Processing (EMNLP)
2023 Slides
- Ramona Christen, Anastassia Shaitarova, Matthias Stürmer, Joel Niklaus, “Resolving Legalese: A Multilingual
Exploration of Negation Scope Resolution in Legal Documents” - Natural Legal Language Processing Workshop (NLLP) @
International Conference on Empirical Methods in Natural Language Processing (EMNLP)
2023 Slides
- Neel Guha, Julian Nyarko, Daniel E Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin
Peters, Brandon Waldon, Daniel N Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan,
Galit Sarfaty, Gregory M Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John Nay,
Jonathan H Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam
Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua
Li, “LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models” - NeurIPS
Datasets and Benchmarks 2023
- Alex Nyffenegger, Matthias Stürmer, Joel Niklaus, “Anonymity at Risk? Assessing Re-Identification Capabilities of
Large Language Models” - ArXiv Pre-Print
- Vishvaksenan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, Joel Niklaus, “
SCALE: Scaling up the Complexity for Advanced Language Model Evaluation” – Natural Legal Language Processing
Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP)
2023 Slides
- Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, “MultiLegalPile: A 689GB
Multilingual Legal Corpus” – Data-centric Machine Learning Research Workshop (DMLR) @ International Conference on
Machine Learning (ICML) 2023, Natural Legal Language Processing Workshop (NLLP) @ International Conference on
Empirical Methods in Natural Language Processing (EMNLP)
2023 Slides
- Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis, “LEXTREME: A
Multi-Lingual and Multi-Task Benchmark for the Legal Domain” – Natural Legal Language Processing Workshop (NLLP) @
International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023, EMNLP Findings
2023 Slides Video
- Tobias Brugger, Matthias Stürmer, Joel Niklaus, “MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection
Dataset” – International Conference on AI and Law (ICAIL)
2023 Slides
- Joel Niklaus, Daniele Giofré, “BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From
Scratch?” – Efficient Natural Language and Speech Processing Workshop (ENLSP) @ Neural Information Processing
Systems (NeurIPS) 2022 & Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) @ Annual
Meeting of the Association for Computational Linguistics (ACL)
2023 Video
- Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus, “ClassActionPrediction: A Challenging Benchmark for
Legal Judgment Prediction of Class Action Cases in the US” – Natural Legal Language Processing Workshop (NLLP) @
International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022
- Joel Niklaus, Matthias Stürmer, Ilias Chalkidis, “An Empirical Study on Cross-X Transfer for Legal Judgment
Prediction” – Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and
International Joint Conference on Natural Language Processing (IJCNLP)
2022 Slides Video
- Joel Niklaus, Ilias Chalkidis, Matthias Stürmer, “Swiss-Judgment-Prediction: A Multilingual Legal Judgment
Prediction Benchmark” – Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical
Methods in Natural Language Processing (EMNLP)
2021 Slides Video
- Christine Krebs, Michael Falkner, Joel Niklaus, Luca Persello, Stefan Klöppel, Tobias Nef, Prabitha Urwyler, “
Application of Eye Tracking in Puzzle Games for Adjunct Cognitive Markers: Pilot Observational Study in Older Adults”
– JMIR serious games 9
- Joel Niklaus, Michele Alberti, Rolf Ingold, Markus Stolze, Thomas Koller, “Challenging Human Supremacy: Evaluating
Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass” – Reinforcement Learning in Games
(RLG) @ Association for the Advancement of Artificial Intelligence (AAAI) 2020 & International Conference on
Artificial Intelligence and Soft Computing (ICAISC) 2020
- Joel Niklaus, Michele Alberti, Vinay Pondenkandath, Rolf Ingold, Marcus Liwicki, “Survey of Artificial
Intelligence for Card Games and Its Application to the Swiss Game Jass” – Swiss Conference on Data Science (SDS)
2019
- Zhongliang Zhao, Jose Carrera, Joel Niklaus, Torsten Braun, “Machine Learning-Based Real-Time Indoor Landmark
Localization” – International Conference on Wired/Wireless Internet Communication (WWIC) 2018
Memberships
Reviewing
- NLLP Workshop 2023
- ARR August 2023
- MLLD Workshop 2023
- ARR April 2022
- ARR February 2022
