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Extracting Legal Propositions from Appellate Decisions with Text Discourse Analysis Methods

机译:文本话语分析方法从上诉裁决中提取法律主张

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摘要

Appellate decisions are the most important judicial documents in the Anglo-American legal system. Typically, judges write appellate opinions by including a summary of the facts of the case, identification of the issues of law raised in arguments by counsel for each of the parties, pronouncement of the legal propositions supported by the controlling authorities, and declaration of a decision that resolves the issues by applying the legal propositions to the facts of the case. The cited legal propositions are often concise summaries of certain aspects of previous cases or federal or state codes, which are applicable to the particular case in consideration. In this paper, we describe how a text discourse analysis program can be used to categorize each sentence in the appellate decisions as one or more of the discourse categories such as 'facts', 'issues', 'legal propositions', and/or 'decisions'. We also show how an information extraction program is applied to the sentences belonging to the 'legal proposition' category to build a visually browsable legal knowledge base. We expect the browsable knowledge base to aid both counsels and judges finding supporting legal propositions for their arguments during the early stage of preparing court briefs or the appellate decisions.
机译:上诉裁决是英美法律体系中最重要的司法文件。通常,法官通过撰写案情摘要,鉴定律师为各当事方在辩论中提出的法律问题,宣告控制当局支持的法律主张以及发表决定来发表上诉意见。通过将法律主张应用于案件事实来解决问题。所引用的法律主张通常是先前案例或联邦或州法规某些方面的简要概述,适用于所考虑的特定案例。在本文中,我们描述了如何使用文本语篇分析程序将上诉决定中的每个句子归类为一个或多个语篇类别,例如“事实”,“问题”,“法律命题”和/或“决定'。我们还展示了如何将信息提取程序应用于属于“法律主张”类别的句子,以建立视觉上可浏览的法律知识库。我们希望可浏览的知识库能够帮助律师和法官在准备法院摘要或上诉裁决的早期阶段为其辩护找到支持性的法律主张。

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