Syllogistic Reasoning for Legal Judgment Analysis
Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 13997–14009
Abstract
Legal judgment assistants are developing fast due to impressive progress of large language models (LLMs).However, people can hardly trust the results generated by a model without reliable analysis of legal judgement.For legal practitioners, it is common practice to utilize syllogistic reasoning to select and evaluate the arguments of the parties as part of the legal decision-making process.But the development of syllogistic reasoning for legal judgment analysis is hindered by the lack of resources: (1) there is no large-scale syllogistic reasoning dataset for legal judgment analysis, and (2) there is no set of established benchmarks for legal judgment analysis.In this paper, we construct and manually correct a syllogistic reasoning dataset for legal judgment analysis.The dataset contains 11,239 criminal cases which cover 4 criminal elements, 80 charges and 124 articles.We also select a set of large language models as benchmarks, and conduct a in-depth analysis of the capacity of their legal judgment analysis.
Authors 8
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Centrum Wiskunde & Informatica
Affiliation as printed
Centrum Wiskunde & Informatica , Amsterdam , The Netherlands
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
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Affiliation as printed
Shandong University , Qingdao , China
Shandong University, Qingdao, China
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Affiliation as printed
Shandong University , Qingdao , China
Shandong University, Qingdao, China
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Microsoft Research Asia (China)
Affiliation as printed
Microsoft Research Asia , Beijing , China
Microsoft Research Asia, Beijing, China
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Affiliation as printed
Shandong University , Qingdao , China
Shandong University, Qingdao, China
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Zhaochun Ren Aachen
Affiliation as printed
Leiden University , Leiden , The Netherlands
Leiden University, Leiden, The Netherlands
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Affiliation as printed
Shandong University , Qingdao , China
Shandong University, Qingdao, China
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Affiliation as printed
Shandong University , Qingdao , China
Shandong University, Qingdao, China
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