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    • 74. 发明申请
    • Method and system for identifying an author of a paper
    • 识别论文作者的方法和系统
    • US20060059121A1
    • 2006-03-16
    • US10930617
    • 2004-08-31
    • Benyu ZhangHua-Jun ZengWei-Ying MaZheng Chen
    • Benyu ZhangHua-Jun ZengWei-Ying MaZheng Chen
    • G06F17/30G06K9/62
    • G06F16/313G06F16/38
    • A system that identifies a person associated with a document is provided. The system retrieves a name associated with a document and reduces the name to a canonical form. The system then compares the canonical form of the name to the canonical form of the names of known persons. If a match is not found, then the system indicates that the person whose name is associated with the document is a previously unknown person. If a match is found, then the system compares attributes of the document with attributes of documents associated with the matching known person. If those attributes are similar, then the system indicates that the person whose name is associated with the document is the matching known person. Otherwise, the system indicates that the person whose name is associated with the document is a previously unknown person.
    • 提供了识别与文档相关联的人的系统。 系统检索与文档关联的名称,并将名称缩小为规范形式。 然后,系统将名称的规范形式与已知人员的名称的规范形式进行比较。 如果没有找到匹配项,则系统指示姓名与该文档相关联的人员是以前未知的人员。 如果找到匹配项,则系统将文档的属性与匹配的已知人员相关联的文档的属性进行比较。 如果这些属性相似,系统会指出姓名与文档相关联的人员是匹配的已知人员。 否则,系统表示姓名与文档相关联的人员是以前未知的人员。
    • 75. 发明申请
    • Method and system for summarizing a document
    • 汇总文件的方法和系统
    • US20060036596A1
    • 2006-02-16
    • US10918242
    • 2004-08-13
    • Benyu ZhangWei-Ying MaZheng ChenHua-Jun ZengDou Shen
    • Benyu ZhangWei-Ying MaZheng ChenHua-Jun ZengDou Shen
    • G06F17/30
    • G06F17/30705G06F17/30719
    • A method and system for calculating the significance of a sentence within a document is provided. The summarization system calculates the significance of the sentences of a document and selects the most significant sentences as the summary of the document. The summarization system calculates the significance of a sentence based on the “important” words of the document that are contained within the sentence. The summarization system calculates the importance of words of the document using various scoring techniques and then combines the scores to classify a word as important or not important. The summarization system can then be used to identify significant sentences of the document based on the important words that a sentence contains and select significant sentences as a summary of the document.
    • 提供了一种用于计算文档中句子的重要性的方法和系统。 总结系统计算文档的句子的重要性,并选择最重要的句子作为文档的摘要。 总结系统根据文本中包含的“重要”字来计算句子的意义。 总结系统使用各种评分技术计算文档的单词的重要性,然后将分数组合成一个单词重要或不重要。 然后,总结系统可以用于基于句子包含的重要词语来识别文档的重要句子,并且将重要句子作为文档的摘要来选择。
    • 77. 发明申请
    • Method and system for classifying display pages using summaries
    • 使用汇总分类显示页面的方法和系统
    • US20050246410A1
    • 2005-11-03
    • US10836319
    • 2004-04-30
    • Zheng ChenDou ShenBenyu ZhangHua-Jun ZengWei-Ying Ma
    • Zheng ChenDou ShenBenyu ZhangHua-Jun ZengWei-Ying Ma
    • G06F17/30G06F15/16
    • G06F17/30719G06F17/30864
    • A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.
    • 一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。 网页分类系统使用网页摘要系统来生成网页摘要。 网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。 总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。 一旦生成摘要,分类系统可以将常规分类技术应用于摘要以对网页进行分类。 分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。