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Automated system and method for generating reasons that a court case is cited

机译:用于产生引用法院案件的理由的自动化系统和方法

摘要

A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance. Another related computer-automated system and method forms lists of morphological forms of words. Still another related computer-automated system and method scores sentences to show their relevance to the reasons a document is cited. Also, another related computer-automated system and method generates lists of content words. In a preferred embodiment, the systems and methods are applied to legal (especially case law) documents and legal (especially case law) citations.
机译:一种计算机自动化的系统和方法,可在第一个“被引用”的法院案件中(靠近“被引用的案件”)(其中引用了第二个“被引用的”法院案件)识别文本,该文本指示被引用的原因(RFC) 。从一组引用文档中提取文本的自动指定方法,作为与被引用文档的各个引用实例相关联的引用原因(RFC),该步骤包括以下步骤:在各个引用文档中获取引用实例的上下文(每个上下文,包括包含引用实例的文本和在引用实例附近的文本),分析上下文的内容,并根据所分析的上下文内容(从引用实例的上下文中)选择构成RFC的文本。相关的计算机自动化的系统和方法选择与引用特定文档的原因高度相关的内容词,并赋予它们指示其相对相关性的权重。另一相关的计算机自动系统和方法形成单词的形态形式列表。另一相关的计算机自动系统和方法对句子进行评分以显示它们与引用文档的原因的相关性。另外,另一相关的计算机自动化的系统和方法生成内容词的列表。在一个优选实施例中,该系统和方法被应用于合法(特别是判例法)文件和合法(特别是判例法)文献。

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