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1. 发明申请

US20110078554A1 WEBPAGE ENTITY EXTRACTION THROUGH JOINT UNDERSTANDING OF PAGE STRUCTURES AND SENTENCES 有权
标题翻译：通过对页面结构和结构的联合理解来提取实体实体
公开(公告)号：US20110078554A1
公开(公告)日：2011-03-31
申请号：US12569912
申请日：2009-09-30
申请人： Zaiqing Nie , Yong Cao , Ji-Rong Wen , Chunyu Yang
发明人： Zaiqing Nie , Yong Cao , Ji-Rong Wen , Chunyu Yang
IPC分类号： G06F17/21
CPC分类号： G06F17/278
摘要： Described is a technology for understanding entities of a webpage, e.g., to label the entities on the webpage. An iterative and bidirectional framework processes a webpage, including a text understanding component (e.g., extended Semi-CRF model) that provides text segmentation features to a structure understanding component (e.g., extended HCRF model). The structure understanding component uses the text segmentation features and visual layout features of the webpage to identify a structure (e.g., labeled block). The text understanding component in turn uses the labeled block to further understand the text. The process continues iteratively until a similarity criterion is met, at which time the entities may be labeled. Also described is the use of multiple mentions of a set of text in the webpage to help in labeling an entity.
摘要翻译：描述了一种用于理解网页的实体的技术，例如标记网页上的实体。迭代和双向框架处理网页，包括向结构理解组件（例如，扩展HCRF模型）提供文本分段特征的文本理解组件（例如，扩展Semi-CRF模型）。结构理解组件使用网页的文本分割特征和视觉布局特征来识别结构（例如，标记块）。文本理解组件依次使用标记块来进一步理解文本。该过程继续迭代直到满足相似性标准，此时实体可以被标记。还描述了使用多个提及网页中的一组文本来帮助标注一个实体。

2. 发明授权

US09092424B2 Webpage entity extraction through joint understanding of page structures and sentences 有权
标题翻译：网页实体提取通过联合理解页面结构和句子
公开(公告)号：US09092424B2
公开(公告)日：2015-07-28
申请号：US12569912
申请日：2009-09-30
申请人： Zaiqing Nie , Yong Cao , Ji-Rong Wen , Chunyu Yang
发明人： Zaiqing Nie , Yong Cao , Ji-Rong Wen , Chunyu Yang
IPC分类号： G06F17/00 , G06F17/27
CPC分类号： G06F17/278
摘要： Described is a technology for understanding entities of a webpage, e.g., to label the entities on the webpage. An iterative and bidirectional framework processes a webpage, including a text understanding component (e.g., extended Semi-CRF model) that provides text segmentation features to a structure understanding component (e.g., extended HCRF model). The structure understanding component uses the text segmentation features and visual layout features of the webpage to identify a structure (e.g., labeled block). The text understanding component in turn uses the labeled block to further understand the text. The process continues iteratively until a similarity criterion is met, at which time the entities may be labeled. Also described is the use of multiple mentions of a set of text in the webpage to help in labeling an entity.
摘要翻译：描述了一种用于理解网页的实体的技术，例如标记网页上的实体。迭代和双向框架处理网页，包括向结构理解组件（例如，扩展HCRF模型）提供文本分段特征的文本理解组件（例如，扩展Semi-CRF模型）。结构理解组件使用网页的文本分割特征和视觉布局特征来识别结构（例如，标记块）。文本理解组件依次使用标记块来进一步理解文本。该过程继续迭代直到满足相似性标准，此时实体可以被标记。还描述了使用多个提及网页中的一组文本来帮助标注一个实体。

3. 发明授权

US08538898B2 Interactive framework for name disambiguation 有权
标题翻译：互动框架的名称消歧
公开(公告)号：US08538898B2
公开(公告)日：2013-09-17
申请号：US13118404
申请日：2011-05-28
申请人： Zhengdong Lu , Zaiqing Nie , Gang Luo , Yong Cao , Ji-Rong Wen , Wei-Ying Ma
发明人： Zhengdong Lu , Zaiqing Nie , Gang Luo , Yong Cao , Ji-Rong Wen , Wei-Ying Ma
IPC分类号： G06N5/00
CPC分类号： G06N99/005 , G06F17/30616
摘要： A “Name Disambiguator” provides various techniques for implementing an interactive framework for resolving or disambiguating entity names (associated with objects such as publications) for entity searches where two or more same or similar names may refer to different entities. More specifically, the Name Disambiguator uses a combination of user input and automatic models to address the disambiguation problem. In various embodiments, the Name Disambiguator uses a two part process, including: 1) a global SVM trained from large sets of documents or objects in a simulated interactive mode, and 2) further personalization of local SVM models (associated with individual names or groups of names such as, for example, a group of coauthors) derived from the global SVM model. The result of this process is that large sets of documents or objects are rapidly and accurately condensed or clustered into ordered sets by that are organized by entity names.
摘要翻译： “名称歧义者”提供了各种技术，用于实现用于解析或消除实体名称（与诸如出版物的对象相关联）的交互式框架，用于实体搜索，其中两个或多个相同或相似的名称可以指代不同的实体。更具体地说，名称消歧器使用用户输入和自动模型的组合来解决消歧问题。在各种实施例中，名称消歧器使用两部分过程，包括：1）以模拟交互模式从大量文档或对象训练的全局SVM，以及2）本地SVM模型的进一步个性化（与个体名称或组相关联来自全球SVM模型的名称，例如一组合作者。这个过程的结果是，大量的文档或对象可以通过按实体名称组织的快速，准确的浓缩或聚类成有序集。

4. 发明申请

US20120303557A1 INTERACTIVE FRAMEWORK FOR NAME DISAMBIGUATION 有权
标题翻译：名称撤销的互动框架
公开(公告)号：US20120303557A1
公开(公告)日：2012-11-29
申请号：US13118404
申请日：2011-05-28
申请人： Zhengdong Lu , Zaiqing Nie , Gang Luo , Yong Cao , Ji-Rong Wen , Wei-Ying Ma
发明人： Zhengdong Lu , Zaiqing Nie , Gang Luo , Yong Cao , Ji-Rong Wen , Wei-Ying Ma
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30616
摘要： A “Name Disambiguator” provides various techniques for implementing an interactive framework for resolving or disambiguating entity names (associated with objects such as publications) for entity searches where two or more same or similar names may refer to different entities. More specifically, the Name Disambiguator uses a combination of user input and automatic models to address the disambiguation problem. In various embodiments, the Name Disambiguator uses a two part process, including: 1) a global SVM trained from large sets of documents or objects in a simulated interactive mode, and 2) further personalization of local SVM models (associated with individual names or groups of names such as, for example, a group of coauthors) derived from the global SVM model. The result of this process is that large sets of documents or objects are rapidly and accurately condensed or clustered into ordered sets by that are organized by entity names.
摘要翻译：名称消歧者提供各种技术，用于实现用于解析或消除实体名称（与诸如出版物的对象相关联）的交互式框架，用于实体搜索，其中两个或多个相同或相似的名称可以指代不同的实体。更具体地说，名称消歧器使用用户输入和自动模型的组合来解决消歧问题。在各种实施例中，名称消歧器使用两部分过程，包括：1）以模拟交互模式从大量文档或对象训练的全局SVM，以及2）本地SVM模型的进一步个性化（与个体名称或组相关联来自全球SVM模型的名称，例如一组合作者。这个过程的结果是，大量的文档或对象可以通过按实体名称组织的快速，准确的浓缩或聚类成有序集。

5. 发明授权

US09990429B2 Automated social networking graph mining and visualization 有权
公开(公告)号：US09990429B2
公开(公告)日：2018-06-05
申请号：US12780522
申请日：2010-05-14
申请人： Zaiqing Nie , Yong Cao , Gang Luo , Ruochi Zhang , Xiaojiang Liu , Yunxiao Ma , Bo Zhang , Ying-Qing Xu , Ji-Rong Wen
发明人： Zaiqing Nie , Yong Cao , Gang Luo , Ruochi Zhang , Xiaojiang Liu , Yunxiao Ma , Bo Zhang , Ying-Qing Xu , Ji-Rong Wen
IPC分类号： G06F3/0481 , G06F3/0482 , G06F3/0483 , G06F8/38 , G06F17/30
CPC分类号： G06F17/30867
摘要： The automated social networking graph mining and visualization technique described herein mines social connections and allows creation of a social networking graph from general (not necessarily social-application specific) Web pages. The technique uses the distances between a person's/entity's name and related people's/entities names on one or more Web pages to determine connections between people/entities and the strengths of the connections. In one embodiment, the technique lays out these connections, and then clusters them, in a 2-D layout of a social networking graph that represents the Web connection strengths among the related people's or entities' names, by using a force-directed model.

6. 发明申请

US20110283205A1 AUTOMATED SOCIAL NETWORKING GRAPH MINING AND VISUALIZATION 有权
标题翻译：自动化社会网络采矿与可视化
公开(公告)号：US20110283205A1
公开(公告)日：2011-11-17
申请号：US12780522
申请日：2010-05-14
申请人： Zaiqing Nie , Yong Cao , Gang Luo , Ruochi Zhang , Xiaojiang Liu , Yunxiao Ma , Bo Zhang , Ying-Qing Xu , Ji-Rong Wen
发明人： Zaiqing Nie , Yong Cao , Gang Luo , Ruochi Zhang , Xiaojiang Liu , Yunxiao Ma , Bo Zhang , Ying-Qing Xu , Ji-Rong Wen
IPC分类号： G06F3/048 , G06F17/30 , G06F15/16
CPC分类号： G06F17/30867
摘要： The automated social networking graph mining and visualization technique described herein mines social connections and allows creation of a social networking graph from general (not necessarily social-application specific) Web pages. The technique uses the distances between a person's/entity's name and related people's/entities names on one or more Web pages to determine connections between people/entities and the strengths of the connections. In one embodiment, the technique lays out these connections, and then clusters them, in a 2-D layout of a social networking graph that represents the Web connection strengths among the related people's or entities' names, by using a force-directed model.
摘要翻译：本文描述的自动化社交网络图挖掘和可视化技术挖掘社会关系，并允许从通用（不一定是社交应用专用）网页创建社交网络图。该技术使用个人/实体的名称与一个或多个网页上的相关人员/实体名称之间的距离来确定人员/实体之间的连接以及连接的优势。在一个实施例中，该技术设置了这些连接，然后通过使用力导向模型将它们聚类在代表相关人或实体名称中的Web连接强度的社交网络图的二维布局中。

7. 发明授权

US07720830B2 Hierarchical conditional random fields for web extraction 失效
标题翻译： Web提取的分层条件随机字段
公开(公告)号：US07720830B2
公开(公告)日：2010-05-18
申请号：US11461400
申请日：2006-07-31
申请人： Ji-Rong Wen , Wei-Ying Ma , Zaiqing Nie , Jun Zhu
发明人： Ji-Rong Wen , Wei-Ying Ma , Zaiqing Nie , Jun Zhu
IPC分类号： G06F7/00 , G06F17/30 , G06F17/00 , G06F15/173
CPC分类号： G06F17/3089 , G06F17/30994
摘要： A method and system for labeling object information of an information page is provided. A labeling system identifies an object record of an information page based on the labeling of object elements within an object record and labels object elements based on the identification of an object record that contains the object elements. To identify the records and label the elements, the labeling system generates a hierarchical representation of blocks of an information page. The labeling system identifies records and elements within the records by propagating probability-related information of record labels and element labels through the hierarchy of the blocks. The labeling system generates a feature vector for each block to represent the block and calculates a probability of a label for a block being correct based on a score derived from the feature vectors associated with related blocks. The labeling system searches for the labeling of records and elements that has the highest probability of being correct.
摘要翻译：提供了一种用于标记信息页面的对象信息的方法和系统。标签系统基于对象记录中的对象元素的标签来识别信息页面的对象记录，并且基于包含对象元素的对象记录的标识来标记对象元素。为了识别记录并标记元素，标签系统生成信息页的块的分层表示。标签系统通过块的层次传播记录标签和元素标签的概率相关信息来识别记录中的记录和元素。标签系统为每个块生成特征向量以表示块，并且基于从与相关块相关联的特征向量导出的分数来计算块正确的标签的概率。标签系统搜索具有最高准确概率的记录和元素的标签。

8. 发明授权

US07529748B2 Information classification paradigm 有权
标题翻译：信息分类范式
公开(公告)号：US07529748B2
公开(公告)日：2009-05-05
申请号：US11276818
申请日：2006-03-15
申请人： Ji-Rong Wen , Yan-Feng Sun , Wei-Ying Ma , Zaiqing Nie , Renkuan Jiang
发明人： Ji-Rong Wen , Yan-Feng Sun , Wei-Ying Ma , Zaiqing Nie , Renkuan Jiang
IPC分类号： G06F17/30
CPC分类号： G06F17/30707 , Y10S707/99933 , Y10S707/99937
摘要： A mechanism to classify source documents into one of two categories, either likely to contain desired information or unlikely to contain desired information. Generally some form of rules based classification in conjunction with deeper analysis using advanced techniques on difficult cases is utilized. The rules based classification is generally good for eliminating cases from further consideration and for identifying documents of interest based on generally discernable relationships between data or based on the presence or absence of data. The deeper analysis is used to uncover more complex relationships between data that may identify documents of interest. Portions of the process may use the entire document while other portions of the process may use only a portion of the document.
摘要翻译：将源文档分类为两个类别之一的机制，可能包含所需信息或不太可能包含所需信息。通常使用某种形式的基于规则的分类，结合使用先进技术在困难案例上进行更深入的分析。基于规则的分类通常对于消除进一步考虑的情况以及基于数据之间的一般可辨别的关系或基于数据的存在或不存在来识别感兴趣的文档是有益的。更深入的分析用于发现可能识别感兴趣文档的数据之间更复杂的关系。过程的一部分可以使用整个文档，而进程的其他部分可以仅使用文档的一部分。

9. 发明申请

US20080215563A1 Pseudo-Anchor Text Extraction for Vertical Search 失效
标题翻译：用于垂直搜索的伪锚文本提取
公开(公告)号：US20080215563A1
公开(公告)日：2008-09-04
申请号：US11681682
申请日：2007-03-02
申请人： Shuming Shi , Zaiqing Nie , Ji-Rong Wen , Mingjie Zhu , Fei Xing
发明人： Shuming Shi , Zaiqing Nie , Ji-Rong Wen , Mingjie Zhu , Fei Xing
IPC分类号： G06F17/30
CPC分类号： G06F17/30616 , G06F17/30864 , Y10S707/99932
摘要： A search method uses pseudo-anchor text associated with search objects to improve search performance. The pseudo-anchor text may be extracted in combination with an identifier of the search objects (such as a pseudo-URL) from a digital corpus such as a collection of documents. Pseudo-anchor texts for each object are preferably extracted from candidate anchor blocks using a machine learning based approach. The pseudo-anchor texts are made available for searching and used to help ranking the objects in a search result to improve search performance. Method may be used in vertical search of objects such as published articles, products and images that lack explicit URL and anchor text information.
摘要翻译：搜索方法使用与搜索对象相关联的伪锚文本来改善搜索性能。伪锚文本可以与来自诸如文档集合的数字语料库的搜索对象（诸如伪URL）的标识符组合提取。优选地，使用基于机器学习的方法从候选锚块中提取每个对象的伪锚文本。伪锚文本可用于搜索，并用于帮助对搜索结果中的对象进行排名以提高搜索性能。方法可用于垂直搜索诸如已发表的文章，产品和图像之类的对象，缺少明确的URL和锚文本信息。

10. 发明授权

US08001130B2 Web object retrieval based on a language model 失效
标题翻译：基于语言模型的Web对象检索
公开(公告)号：US08001130B2
公开(公告)日：2011-08-16
申请号：US11459857
申请日：2006-07-25
申请人： Ji-Rong Wen , Shuming Shi , Wei-Ying Ma , Yunxiao Ma , Zaiqing Nie
发明人： Ji-Rong Wen , Shuming Shi , Wei-Ying Ma , Yunxiao Ma , Zaiqing Nie
IPC分类号： G06F17/30
CPC分类号： G06F17/30687 , G06F17/30864 , G06F17/30896 , Y10S707/99936
摘要： A method and system is provided for determining relevance of an object to a term based on a language model. The relevance system provides records extracted from web pages that relate to the object. To determine the relevance of the object to a term, the relevance system first determines, for each record of the object, a probability of generating that term using a language model of the record of that object. The relevance system then calculates the relevance of the object to the term by combining the probabilities. The relevance system may also weight the probabilities based on the accuracy or reliability of the extracted information for each data source.
摘要翻译：提供了一种基于语言模型来确定对象与术语的相关性的方法和系统。相关系统提供从与该对象相关的网页提取的记录。为了确定对象与术语的相关性，相关系统首先确定对象的每个记录，使用该对象的记录的语言模型生成该术语的概率。相关系统然后通过组合概率来计算对象与该术语的相关性。相关系统还可以基于每个数据源提取的信息的准确性或可靠性对概率进行加权。

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