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    • 1. 发明授权
    • Automated system and method for generating reasons that a court case is cited
    • 引发法院案件的自动化制度和方法
    • US07693704B2
    • 2010-04-06
    • US11056121
    • 2005-02-14
    • Timothy L. HumphreyXin Allan LuAfsar ParhizgarSalahuddin AhmedJames S. Wiltshire, Jr.John T. MorelockJoseph P. HarmonSpiro G. ColliasPaul Zhang
    • Timothy L. HumphreyXin Allan LuAfsar ParhizgarSalahuddin AhmedJames S. Wiltshire, Jr.John T. MorelockJoseph P. HarmonSpiro G. ColliasPaul Zhang
    • G06F17/27
    • G06F17/30613G06F17/27G06F17/2755G06F17/30728Y10S707/917Y10S707/942Y10S707/99932Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99937
    • 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.
    • 计算机自动化系统和方法在第一个“引用”法庭案件中,在“引用案例”附近(其中引用了第二个“引用”法院案件)附近识别文本,其指示引用原因(RFC) 。 指定文本的自动化方法(从一组引用文件中获取)作为与被引用文献的各个引用实例相关联的引用(RFC)的原因,具有以下步骤:获得各个引用文档中的引用实例的上下文( 每个上下文包括包括引用实例和引用实例附近的文本的文本),分析上下文的内容,以及基于所分析的上下文的内容来选择(来自引用实例的上下文)构成RFC的文本 。 相关的计算机自动化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,并给出它们表示其相对相关性的权重。 另一个相关的计算机自动化系统和方法形成词形态形式的列表。 另一个相关的计算机自动化系统和方法对句子进行分类,以表明它们与引用文档的原因的相关性。 另外,另一个相关的计算机自动化系统和方法生成内容词列表。 在一个优选实施例中,系统和方法适用于法律(特别是判例法)文件和法律(特别是判例法)引用。
    • 2. 发明授权
    • Automated system and method for generating reasons that a court case is cited
    • 引发法院案件的自动化制度和方法
    • US07464025B2
    • 2008-12-09
    • US11056200
    • 2005-02-14
    • Timothy L. HumphreyXin Allan LuAfsar ParhizgarSalahuddin AhmedJames S. Wiltshire, Jr.John T. MorelockJoseph P. HarmonSpiro G. ColliasPaul Zhang
    • Timothy L. HumphreyXin Allan LuAfsar ParhizgarSalahuddin AhmedJames S. Wiltshire, Jr.John T. MorelockJoseph P. HarmonSpiro G. ColliasPaul Zhang
    • G06F17/27
    • G06F17/30613G06F17/27G06F17/2755G06F17/30728Y10S707/917Y10S707/942Y10S707/99932Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99937
    • 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.
    • 计算机自动化系统和方法在第一个“引用”法庭案件中,在“引用案例”附近(其中引用了第二个“引用”法院案件)附近识别文本,其指示引用原因(RFC) 。 指定文本的自动化方法(从一组引用文件中获取)作为与被引用文献的各个引用实例相关联的引用(RFC)的原因,具有以下步骤:获得各个引用文档中的引用实例的上下文( 每个上下文包括包括引用实例和引用实例附近的文本的文本),分析上下文的内容,以及基于所分析的上下文的内容来选择(来自引用实例的上下文)构成RFC的文本 。 相关的计算机自动化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,并给出它们表示其相对相关性的权重。 另一个相关的计算机自动化系统和方法形成词形态形式的列表。 另一个相关的计算机自动化系统和方法对句子进行分类,以表明它们与引用文档的原因的相关性。 另外,另一个相关的计算机自动化系统和方法生成内容词列表。 在一个优选实施例中,系统和方法适用于法律(特别是判例法)文件和法律(特别是判例法)引用。