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20212024
most citedLEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain

48 citations · 88 across the 13 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 2 cited

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…

cs.CL2023★ 2 cited

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…

cs.CL2023★ 4 cited

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…

cs.CL2023★ 7 cited

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…

cs.CL2023★ 4 cited

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…

cs.CL2023★ 5 cited

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…

cs.CL2023★ 48 cited

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…