Automated system and method for generating reasons that a court case is cited
    62.
    发明申请
    Automated system and method for generating reasons that a court case is cited 有权
    引发法院案件的自动化制度和方法

    公开(公告)号:US20050144169A1

    公开(公告)日:2005-06-30

    申请号:US11056121

    申请日:2005-02-14

    Abstract: 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.

    Abstract translation: 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。

    Interactive voice recognition electronic device and method
    68.
    发明授权
    Interactive voice recognition electronic device and method 有权
    交互式语音识别电子设备及方法

    公开(公告)号:US08909525B2

    公开(公告)日:2014-12-09

    申请号:US13205627

    申请日:2011-08-09

    CPC classification number: G10L15/08 G10L15/26

    Abstract: An interactive voice recognition electronic device converts a received voice signal to a text, and searches a voice databases to find a matched voice text of the converted text. The matched voice text is taken as a recognized voice text of the voice signal if the matched voice text exists in the voice database. The electronic device obtains a predetermined number of similar voice texts if no matched voice text exists in the voice database. The electronic device converts the predetermined number of similar voice texts to the voice signals, outputs the converted voice signals in turn, and selects one of the similar voice texts as the recognized voice text according to the selection of the user. The electronic device obtains the associated answer text of the recognized voice text in the voice database and converts the answer text to voice signals.

    Abstract translation: 交互式语音识别电子设备将接收的语音信号转换为文本,并且搜索语音数据库以找到经转换的文本的匹配的语音文本。 如果语音数据库中存在匹配的语音文本,则将匹配的语音文本作为语音信号的识别语音文本。 如果语音数据库中没有匹配的语音文本,则电子设备获得预定数量的类似语音文本。 电子设备将预定数量的类似语音文本转换为语音信号,依次输出转换的语音信号,并根据用户的选择选择与所识别的语音文本相似的语音文本之一。 电子设备获取语音数据库中识别的语音文本的相关应答文本,并将答案文本转换为语音信号。

    System and method of detecting abnormal segments of video
    70.
    发明授权
    System and method of detecting abnormal segments of video 有权
    检测视频异常段的系统和方法

    公开(公告)号:US08660343B2

    公开(公告)日:2014-02-25

    申请号:US13483063

    申请日:2012-05-30

    CPC classification number: G06K9/00765

    Abstract: A system and a method of detecting abnormal or security-significant segments of a video are provided. The video is divided into several segments. A set of features of each segment of the video is extracted in order to calculate a set of factors corresponding to each segment. A value deemed abnormal of each segment is calculated according to the set of factors corresponding to each segment. One or more abnormal segments are determined from the segments based on the abnormal values. The set of features includes a color variable feature, a movement variable feature, a movement variable ratio feature and a background variable feature.

    Abstract translation: 提供了一种检测视频的异常或安全重要段的系统和方法。 视频分为几段。 提取视频的每个片段的一组特征,以便计算与每个片段对应的一组因子。 根据与每个段相对应的因子集合,计算每个段的异常值。 基于异常值从段中确定一个或多个异常段。 特征集包括颜色变量特征,运动变量特征,运动变量比特征和背景变量特征。

Patent Agency Ranking