48 citations · 88 across the 13 of their papers we have counts for
13 papers
From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence
Ronja Stern, Ken Kawamura, Matthias Stürmer +2
Many court systems are overwhelmed all over the world, leading to huge backlogs of pending cases. Effective triage systems, like those in emergency rooms, could ensure proper prior…
Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland
Luca Rolshoven, Vishvaksenan Rasiah, Srinanda Brügger Bose +4
Legal research depends on headnotes: concise summaries that help lawyers quickly identify relevant cases. Yet, many court decisions lack them due to the high cost of manual annotat…
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
Santosh T. Y. S. S, Nina Baumgartner, Matthias Stürmer +2
The assessment of explainability in Legal Judgement Prediction (LJP) systems is of paramount importance in building trustworthy and transparent systems, particularly considering th…
Automatic Anonymization of Swiss Federal Supreme Court Rulings
Joel Niklaus, Robin Mamié, Matthias Stürmer +2
Releasing court decisions to the public relies on proper anonymization to protect all involved parties, where necessary. The Swiss Federal Supreme Court relies on an existing syste…
Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents
Ramona Christen, Anastassia Shaitarova, Matthias Stürmer +1
Resolving the scope of a negation within a sentence is a challenging NLP task. The complexity of legal texts and the lack of annotated in-domain negation corpora pose challenges fo…
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models
Alex Nyffenegger, Matthias Stürmer, Joel Niklaus
Anonymity of both natural and legal persons in court rulings is a critical aspect of privacy protection in the European Union and Switzerland. With the advent of LLMs, concerns abo…
One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi +5
Recent strides in Large Language Models (LLMs) have saturated many Natural Language Processing (NLP) benchmarks, emphasizing the need for more challenging ones to properly assess L…
MultiLegalPile: A 689GB Multilingual Legal Corpus
Joel Niklaus, Veton Matoshi, Matthias Stürmer +2
Large, high-quality datasets are crucial for training Large Language Models (LLMs). However, so far, there are few datasets available for specialized critical domains such as law a…
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset
Tobias Brugger, Matthias Stürmer, Joel Niklaus
Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural Language Processing (NLP), with incorrectly split sentences heavily influencing the output q…
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
Joel Niklaus, Veton Matoshi, Pooja Rani +3
Lately, propelled by the phenomenal advances around the transformer architecture, the legal NLP field has enjoyed spectacular growth. To measure progress, well curated and challeng…
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
Joel Niklaus, Matthias Stürmer, Ilias Chalkidis
Cross-lingual transfer learning has proven useful in a variety of Natural Language Processing (NLP) tasks, but it is understudied in the context of legal NLP, and not at all in Leg…
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
Joel Niklaus, Ilias Chalkidis, Matthias Stürmer
In many jurisdictions, the excessive workload of courts leads to high delays. Suitable predictive AI models can assist legal professionals in their work, and thus enhance and speed…
Security implications of digitalization: The dangers of data colonialism and the way towards sustainable and sovereign management of environmental data
Matthias Stürmer, Jasmin Nussbaumer, Pascal Stöckli
Digitalization opens up new opportunities in the collection, analysis, and presentation of data which can contribute to the achievement of the 2030 Agenda and its Sustainable Devel…