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    • 2. 发明申请
    • CATEGORIZATION OF DOCUMENTS USING PART-OF-SPEECH SMOOTHING
    • 使用部分语音播放的文档分类
    • US20080249762A1
    • 2008-10-09
    • US11697112
    • 2007-04-05
    • Jian WangJian-Tao SunShen HuangZheng Chen
    • Jian WangJian-Tao SunShen HuangZheng Chen
    • G06F17/20
    • G06F17/2785
    • A method and system is provided for classifying documents based on the subjectivity of the content of the documents using a part-of-speech analysis to help account for unseen words. A classification system trains a classifier using the parts of speech of training documents so that the classifier can classify unseen words based on the part of speech of the unseen word. The classification system then trains a part-of-speech model using the parts of speech of the n-grams of training data and labels of the training documents, and trains a term model using the term unigrams and labels. To classify a target document, the classification system applies the part-of-speech model to the part-of-speech n-grams of the target document and the term model to term n-grams of the target document.
    • 提供了一种方法和系统,用于使用语音分析基于文档内容的主观性对文档进行分类,以帮助解释看不见的单词。 分类系统使用训练文档的部分语言训练分类器,以便分类器可以根据不可见词的部分语言对不可见的单词进行分类。 然后,分类系统使用训练数据的n-gram和训练文档的标签的词性训练一部分语音模型,并且使用术语单词和标签来训练术语模型。 为了对目标文件进行分类,分类系统将部分词汇模型应用于目标文档的词性n-gram和目标文档的术语模型至术语n-gram。
    • 3. 发明申请
    • GUI BASED WEB SEARCH
    • 基于GUI的网页搜索
    • US20080208819A1
    • 2008-08-28
    • US12038588
    • 2008-02-27
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • G06F17/30
    • G06F17/30696G06F17/30643G06F17/30864
    • An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed.
    • 示例性的计算机实现的基于图形的Web搜索系统包括搜索输入控制和结果呈现控制,其中搜索输入控件被配置为接收用户输入以建立查询与与由搜索结果提供的搜索结果相关联的一个或多个信息标签之间的关系 搜索引擎,其响应于所述查询,并且其中所述结果呈现控制被配置为响应于所述关系重新排序所述搜索结果。 这样的系统允许用户定义和优化搜索意图并增强用户的搜索体验。 还公开了各种其它示例性系统,方法,装置等。
    • 4. 发明授权
    • GUI based web search
    • 基于GUI的网页搜索
    • US08949215B2
    • 2015-02-03
    • US12038588
    • 2008-02-27
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • G06F17/30
    • G06F17/30696G06F17/30643G06F17/30864
    • An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed.
    • 示例性的计算机实现的基于图形的Web搜索系统包括搜索输入控制和结果呈现控制,其中搜索输入控件被配置为接收用户输入以建立查询与与由搜索结果提供的搜索结果相关联的一个或多个信息标签之间的关系 搜索引擎,其响应于所述查询,并且其中所述结果呈现控制被配置为响应于所述关系重新排序所述搜索结果。 这样的系统允许用户定义和优化搜索意图并增强用户的搜索体验。 还公开了各种其它示例性系统,方法,装置等。
    • 5. 发明授权
    • Searching heterogeneous interrelated entities
    • 搜索异构相关实体
    • US07849104B2
    • 2010-12-07
    • US11853613
    • 2007-09-11
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • G06F7/00
    • G06F17/30867
    • Systems and methods for searching heterogeneous interrelated entities for a heterogeneous entities search query are disclosed herein. A user may enter the heterogeneous entities search query. The search retrieves and returns multiple types of heterogeneous entities. The retrieved heterogeneous interrelated entities are searched in a unified matrix that represents relationships between one or more heterogeneous entities. The retrieved heterogeneous interrelated entities may have one or more entity types. The set of retrieved interrelated entities may also be ranked based on the similarity between each entity and the search query. Feedback may also be incorporated into the system to improve search accuracy.
    • 本文公开了用于异构实体搜索查询的异构相关实体的搜索的系统和方法。 用户可以输入异构实体搜索查询。 搜索检索并返回多种类型的异构实体。 检索到的异构相关实体在表示一个或多个异构实体之间的关系的统一矩阵中进行搜索。 所检索的异构相关实体可以具有一个或多个实体类型。 还可以根据每个实体和搜索查询之间的相似性对所检索的相关实体的集合进行排名。 反馈也可以并入系统以提高搜索精度。
    • 6. 发明申请
    • SEARCHING HETEROGENEOUS INTERRELATED ENTITIES
    • 搜索异构中介实体
    • US20080215565A1
    • 2008-09-04
    • US11853613
    • 2007-09-11
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • G06F17/30
    • G06F17/30867
    • Systems and methods for searching heterogeneous interrelated entities for a heterogeneous entities search query are disclosed herein. A user may enter the heterogeneous entities search query. The search retrieves and returns multiple types of heterogeneous entities. The retrieved heterogeneous interrelated entities are searched in a unified matrix that represents relationships between one or more heterogeneous entities. The retrieved heterogeneous interrelated entities may have one or more entity types. The set of retrieved interrelated entities may also be ranked based on the similarity between each entity and the search query. Feedback may also be incorporated into the system to improve search accuracy.
    • 本文公开了用于异构实体搜索查询的异构相关实体的搜索的系统和方法。 用户可以输入异构实体搜索查询。 搜索检索并返回多种类型的异构实体。 检索到的异构相关实体在表示一个或多个异构实体之间的关系的统一矩阵中进行搜索。 所检索的异构相关实体可以具有一个或多个实体类型。 还可以根据每个实体和搜索查询之间的相似性对所检索的相关实体的集合进行排名。 反馈也可以并入系统以提高搜索精度。
    • 9. 发明授权
    • Person disambiguation using name entity extraction-based clustering
    • 使用基于名称实体提取的聚类方法消除歧义
    • US07685201B2
    • 2010-03-23
    • US11796818
    • 2007-04-30
    • Hua-Jun ZengShen HuangZheng ChenJian Wang
    • Hua-Jun ZengShen HuangZheng ChenJian Wang
    • G06F7/00G06F17/30
    • G06F17/3071G06F17/30696
    • Described is a technology for disambiguating data corresponding to persons that are located from search results, so that different persons having the same name can be clearly distinguished. Name entity extraction locates words (terms) that are within a certain distance of persons' names in the search results. The terms are used in disambiguating search results that correspond to different persons having the same name, such as location information, organization information, career information, and/or partner information. In one example, each person is represented as a vector, and similarity among vectors is calculated based on weighting that corresponds to nearness of the terms to a person, and/or the types of terms. Based on the similarity data, the person vectors that represent the same person are then merged into one cluster, so that each cluster represents (to a high probability) only one distinct person.
    • 描述了一种用于消除对应于从搜索结果定位的人的数据的技术,使得可以清楚地区分具有相同名称的不同的人。 名称实体提取查找搜索结果中某人距离内的单词(术语)。 这些术语用于消除与具有相同名称的不同人员相对应的搜索结果,例如位置信息,组织信息,职业信息和/或合作伙伴信息。 在一个示例中,每个人被表示为向量,并且基于对应于对人的术语的接近度的加权和/或术语的类型来计算向量之间的相似性。 基于相似性数据,代表同一个人的人物向量然后被合并成一个群集,使得每个群集只代表一个不同的人。
    • 10. 发明申请
    • Person disambiguation using name entity extraction-based clustering
    • 使用基于名称实体提取的聚类方法消除歧义
    • US20080065623A1
    • 2008-03-13
    • US11796818
    • 2007-04-30
    • Hua-Jun ZengShen HuangZheng ChenJian Wang
    • Hua-Jun ZengShen HuangZheng ChenJian Wang
    • G06F17/30
    • G06F17/3071G06F17/30696
    • Described is a technology for disambiguating data corresponding to persons that are located from search results, so that different persons having the same name can be clearly distinguished. Name entity extraction locates words (terms) that are within a certain distance of persons' names in the search results. The terms are used in disambiguating search results that correspond to different persons having the same name, such as location information, organization information, career information, and/or partner information. In one example, each person is represented as a vector, and similarity among vectors is calculated based on weighting that corresponds to nearness of the terms to a person, and/or the types of terms. Based on the similarity data, the person vectors that represent the same person are then merged into one cluster, so that each cluster represents (to a high probability) only one distinct person.
    • 描述了一种用于消除对应于从搜索结果定位的人的数据的技术,使得可以清楚地区分具有相同名称的不同的人。 名称实体提取查找搜索结果中某人距离内的单词(术语)。 这些术语用于消除与具有相同名称的不同人员相对应的搜索结果,例如位置信息,组织信息,职业信息和/或合作伙伴信息。 在一个示例中,每个人被表示为向量,并且基于对应于对人的术语的接近度的加权和/或术语的类型来计算向量之间的相似性。 基于相似性数据,代表同一个人的人物向量然后被合并成一个群集,使得每个群集只代表一个不同的人。