Feb. 29, 2024, 5:48 a.m. | Pengjie Liu, Zhenghao Liu, Xiaoyuan Yi, Liner Yang, Shuo Wang, Yu Gu, Ge Yu, Xing Xie, Shuang-hua Yang

cs.CL updates on arXiv.org arxiv.org

arXiv:2401.15371v2 Announce Type: replace
Abstract: Most existing Legal Judgment Prediction (LJP) models focus on discovering the legal triggers in the criminal fact description. However, in real-world scenarios, a professional judge not only needs to assimilate the law case experience that thrives on past sentenced legal judgments but also depends on the professional legal grounded reasoning that learned from professional legal knowledge. In this paper, we propose a LegalDuet model, which pretrains language models to learn a tailored embedding space for …

arxiv cs.cl judgment legal prediction reasoning through type view

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