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  4. Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland
 

Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland

URI
https://arbor.bfh.ch/handle/arbor/44766
Date Issued
2024-10-17
Author(s)
Rolshoven, Luca Sven  
Rasiah Vishvaksenan
Brügger Bose Srinanda
Stürmer, Matthias  
Niklaus, Joël  
Type
Working Paper
Language
English
Subjects

cs.CL

cs.AI

cs.LG

68T50

I.2; I.7

Abstract
Legal research is a time-consuming task that most lawyers face on a daily basis. A large part of legal research entails looking up relevant caselaw and bringing it in relation to the case at hand. Lawyers heavily rely on summaries (also called headnotes) to find the right cases quickly. However, not all decisions are annotated with headnotes and writing them is time-consuming. Automated headnote creation has the potential to make hundreds of thousands of decisions more accessible for legal research in Switzerland alone. To kickstart this, we introduce the Swiss Leading Decision Summarization ( SLDS) dataset, a novel cross-lingual resource featuring 18K court rulings from the Swiss Federal Supreme Court (SFSC), in German, French, and Italian, along with German headnotes. We fine-tune and evaluate three mT5 variants, along with proprietary models. Our analysis highlights that while proprietary models perform well in zero-shot and one-shot settings, fine-tuned smaller models still provide a strong competitive edge. We publicly release the dataset to facilitate further research in multilingual legal summarization and the development of assistive technologies for legal professionals
Subjects
K Law
DOI
https://doi.org/10.24451/dspace/11547
Publisher URL
https://arxiv.org/abs/2410.13456
Organization
Wirtschaft  
Submitter
Wilhelm, Seraina
Citation apa
Rolshoven, L. S., Rasiah Vishvaksenan, Brügger Bose Srinanda, Stürmer, M., & Niklaus, J. (2024). Unlocking Legal Knowledge: A Multilingual Dataset for Judicial  Summarization in Switzerland. https://doi.org/10.24451/dspace/11547
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License
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