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English(EN) Unlocking Criminal Court Decisions: Flexible Information Extraction for Empirical Legal Research

LLM管道从刑事法院判决中提取结构化数据

研究人员开发了一个新的基于LLM的管道,用于从刑事法院判决中提取结构化数据,以辅助实证法律研究。该系统允许法律专家精炼标注指令,这被证明可以提高像酒驾等罪行的提取准确性和标注者一致性。该管道在属性探索和值规范化方面的灵活性在交通违规案件上进行了评估,展示了其从复杂法律文件中创建结构化数据集的潜力。 AI

影响 通过结构化非结构化法院数据,实现更高效、更准确的法律研究。

排序理由 该条目是一篇学术论文,详细介绍了一种新的信息提取方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

LLM管道从刑事法院判决中提取结构化数据

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该条目是一篇学术论文,详细介绍了一种新的信息提取方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Tom\'a\v{s} Knap, Ivana Kvapil\'ikov\'a, Jan \v{C}ern\'y, Kl\'ara Bendov\'a, Jarom\'ir \v{S}avelka, Vojt\v{e}ch Pour, Jakub Dr\'apal ·

    解锁刑事法院判决:为实证法律研究提供灵活的信息提取

    arXiv:2611.03051v1 Announce Type: new Abstract: Criminal verdicts contain descriptions of criminal behavior that can support quantitative legal research, but structuring them requires attributes and extraction rules that cannot always be fully specified in advance. We present an …