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11. 发明申请

US20120130999A1 Method and Apparatus for Searching Electronic Documents 审中-公开
标题翻译：搜索电子文件的方法和装置
公开(公告)号：US20120130999A1
公开(公告)日：2012-05-24
申请号：US13258473
申请日：2009-08-24
申请人： Jian Ming Jin , Sheng Wen Yang , Yuhong Xiong , Xiao Liang Hao , De Miao Lin
发明人： Jian Ming Jin , Sheng Wen Yang , Yuhong Xiong , Xiao Liang Hao , De Miao Lin
IPC分类号： G06F17/30
CPC分类号： G06F16/954 , G06F16/94 , G06F16/9558
摘要： Disclosed is a method and apparatus for searching electronic documents. The 5 apparatus comprises first and second data repositories storing tags for representing content of an electronic document. The first data repository is adapted to store structured tags and their respective association with an electronic document, a structured tag comprising information representing its relationship to at least one other tag. The second data repository is adapted to 10 store free tags and their respective association with an electronic document, a free tag not comprising information representing its relationship to any other tags. Electronic documents can be searched by accessing the first and second data repositories, and matching a search query with one or more tags in the first and second data repositories. For each matched tag, an electronic document 15 associated with the tag can then be retrieved and a ranking for the electronic document determined based on attributes of the document and its associated tag.
摘要翻译：公开了一种用于搜索电子文档的方法和装置。该装置包括存储用于表示电子文档的内容的标签的第一和第二数据存储库。第一数据存储库适于存储结构化标签及其与电子文档的各自关联，包括表示其与至少一个其他标签的关系的信息的结构化标签。第二数据存储库适于10个存储免费标签及其与电子文档的各自关联，一个不包含代表其与任何其他标签的关系的信息的免费标签。可以通过访问第一和第二数据存储库并将搜索查询与第一和第二数据存储库中的一个或多个标签相匹配来搜索电子文档。对于每个匹配的标签，然后可以检索与标签相关联的电子文档15，并且基于文档的属性及其相关联的标签确定电子文档的排名。

12. 发明授权

US09213690B2 Method, system, and appartus for selecting an acronym expansion 有权
标题翻译：方法，系统和appartus用于选择缩写扩展
公开(公告)号：US09213690B2
公开(公告)日：2015-12-15
申请号：US13695238
申请日：2010-04-29
申请人： Shicong Feng , Yuhong Xiong , Conglei Yao , Wei Liu
发明人： Shicong Feng , Yuhong Xiong , Conglei Yao , Wei Liu
IPC分类号： G06F17/27 , G06F17/20 , G06F17/21 , G06F17/28 , G06F17/22
CPC分类号： G06F17/28 , G06F17/2282 , G06F17/277
摘要： According to one embodiment of the present invention, there is provided a method of selecting an expansion for an acronym in a document of a set of linked documents. The method comprises obtaining for each occurrence of the acronym in the set of linked documents one or more possible acronym expansions and an associated probability that the one or more possible acronym expansions is the correct acronym expansion. The further comprises identifying a sub-set of documents from the set of linked documents in which the acronym occurs. The method further comprises recalculating the associated probabilities for a first occurrence of an acronym in the sub-set of documents based, in part, on the associated probabilities of other occurrences of the acronym in the sub-set of documents and the distance between the first occurrence and the other occurrences.
摘要翻译：根据本发明的一个实施例，提供了一种在一组链接的文档的文档中为缩写选择扩展的方法。所述方法包括获得所述链接文档集合中的每个首字母缩略词的一个或多个可能的首字母缩略词扩展以及所述一个或多个可能的首字母缩略词扩展是正确的首字母缩略词扩展的相关概率。还包括从首字母缩略词发生的链接文档集中识别文档子集。该方法还包括重新计算文档子集中的首字母缩略词的首次出现的相关概率，部分地基于文档子集中首字母缩略词的其他出现的相关概率，以及第一发生和其他事件。

13. 发明申请

US20130110500A1 METHOD, SYSTEM, AND APPARTUS FOR SELECTING AN ACRONYM EXPANSION 有权
标题翻译：方法，系统和选择ACRONYM扩展的方法
公开(公告)号：US20130110500A1
公开(公告)日：2013-05-02
申请号：US13695238
申请日：2010-04-29
申请人： Shicong Feng , Yuhong Xiong , Conglei Yao , Wei Liu
发明人： Shicong Feng , Yuhong Xiong , Conglei Yao , Wei Liu
IPC分类号： G06F17/28
CPC分类号： G06F17/28 , G06F17/2282 , G06F17/277
摘要： According to one embodiment of the present invention, there is provided a method of selecting an expansion for an acronym in a document of a set of linked documents. The method comprises obtaining for each occurrence of the acronym in the set of linked documents one or more possible acronym expansions and an associated probability that the one or more possible acronym expansions is the correct acronym expansion. The further comprises identifying a sub-set of documents from the set of linked documents in which the acronym occurs. The method further comprises recalculating the associated probabilities for a first occurrence of an acronym in the sub-set of documents based, in part, on the associated probabilities of other occurrences of the acronym in the sub-set of documents and the distance between the first occurrence and the other occurrences.
摘要翻译：根据本发明的一个实施例，提供了一种在一组链接的文档的文档中为缩写选择扩展的方法。所述方法包括获得所述链接文档集合中的每个首字母缩略词的一个或多个可能的首字母缩略词扩展以及所述一个或多个可能的首字母缩略词扩展是正确的首字母缩略词扩展的相关概率。还包括从首字母缩略词发生的链接文档集中识别文档子集。该方法还包括重新计算文档子集中的首字母缩略词的首次出现的相关概率，部分地基于文档子集中首字母缩略词的其他出现的相关概率，以及第一发生和其他事件。

14. 发明申请

US20120047149A1 Document Key Phrase Extraction Method 有权
标题翻译：文献关键短语提取方法
公开(公告)号：US20120047149A1
公开(公告)日：2012-02-23
申请号：US13264806
申请日：2009-05-12
申请人： Bao-Yao Zhou , Ping Luo , Sheng-Wen Yang , Yuhong Xiong , Wei Liu
发明人： Bao-Yao Zhou , Ping Luo , Sheng-Wen Yang , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/30
CPC分类号： G06F17/2705 , G06F17/2745 , G06F17/30327 , G06F17/30961 , G06N5/022
摘要： A computer-implemented method of extracting key phrases from a document is disclosed comprising the steps of accessing a repository comprising linked subjects, the repository comprising first and second data structures representing the relationship between said subjects using different representation criteria; pruning the first data structure by removing links between subjects based on a further relationship between said subjects in the second data structure; matching phrases in said document to subjects in the pruned first data structure; further pruning the pruned first data structure by removing unmatched subjects that are not linked to matched subjects; determining a ranking for each matched subject; and selecting key phrases using the determined subject rankings. A computer program for implementing the steps of this method when executed on a computer is also disclosed.
摘要翻译：公开了一种从文档中提取关键短语的计算机实现的方法，包括以下步骤：访问包含链接对象的存储库，所述存储库包括表示使用不同表示标准的所述对象之间的关系的第一和第二数据结构; 基于第二数据结构中的所述对象之间的进一步的关系，通过去除主体之间的链接来修剪第一数据结构; 将所述文档中的短语与修剪的第一数据结构中的对象匹配; 通过删除与匹配对象无关的不匹配的主题，进一步修剪已修剪的第一个数据结构; 确定每个匹配对象的排名; 并使用确定的受试者排名选择关键短语。还公开了一种用于在计算机上执行时实现该方法的步骤的计算机程序。

15. 发明授权

US08924846B2 Apparatus and method for text extraction 有权
标题翻译：文本提取的装置和方法
公开(公告)号：US08924846B2
公开(公告)日：2014-12-30
申请号：US13258464
申请日：2009-07-03
申请人： Bao-Yao Zhou , Yuhong Xiong , Wei Liu
发明人： Bao-Yao Zhou , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/22
CPC分类号： G06F17/2241
摘要： A method of determining main text in a mark-up document is provided, which comprises determining a length of each paragraph in the mark-up document; and determining one or more main paragraphs of the mark-up document based upon the length of the paragraphs in the mark-up document.
摘要翻译：提供了一种确定标记文档中的主要文本的方法，其包括确定标记文档中每个段落的长度; 并且基于标记文档中的段落的长度来确定标记文档的一个或多个主要段落。

16. 发明授权

US08843815B2 System and method for automatically extracting metadata from unstructured electronic documents 有权
标题翻译：从非结构化电子文档自动提取元数据的系统和方法
公开(公告)号：US08843815B2
公开(公告)日：2014-09-23
申请号：US13258484
申请日：2010-01-18
申请人： Sheng-Wen Yang , Yuhong Xiong , Wei Liu
发明人： Sheng-Wen Yang , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/00 , G06F17/27 , G06F17/30
CPC分类号： G06F17/2745 , G06F17/30722
摘要： A system and method for automatically extracting meta data from unstructured electronic documents is disclosed. In one embodiment, the unstructured electronic document is converted into a plain text document. Further, a document header of the unstructured electronic document is extracted from the plain text document using a rule-based document header extractor, where the rule-based document header extractor may be based on a rule that includes determining a ratio of a number of words with their initial letters capitalized in a text line over a total number of words in the text line in the plain text document. Moreover, meta data is extracted from the extracted document header using a heuristic approach.
摘要翻译：公开了一种用于从非结构化电子文档自动提取元数据的系统和方法。在一个实施例中，非结构化电子文档被转换成纯文本文档。此外，使用基于规则的文档头提取器从明文文档中提取非结构化电子文档的文档头，其中基于规则的文档头提取器可以基于包括确定字数的比率的规则他们的初始字母在纯文本文本中的文本行中的文字总数中以大写字母大写。此外，使用启发式方法从提取的文档头中提取元数据。

17. 发明授权

US08935260B2 Document key phrase extraction method 有权
标题翻译：文献关键词提取方法
公开(公告)号：US08935260B2
公开(公告)日：2015-01-13
申请号：US13264806
申请日：2009-05-12
申请人： Bao-Yao Zhou , Ping Luo , Sheng-Wen Yang , Yuhong Xiong , Wei Liu
发明人： Bao-Yao Zhou , Ping Luo , Sheng-Wen Yang , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/2705 , G06F17/2745 , G06F17/30327 , G06F17/30961 , G06N5/022
摘要： A computer-implemented method of extracting key phrases from a document is disclosed comprising the steps of accessing a repository comprising linked subjects, the repository comprising first and second data structures representing the relationship between said subjects using different representation criteria; pruning the first data structure by removing links between subjects based on a further relationship between said subjects in the second data structure; matching phrases in said document to subjects in the pruned first data structure; further pruning the pruned first data structure by removing unmatched subjects that are not linked to matched subjects; determining a ranking for each matched subject; and selecting key phrases using the determined subject rankings. A computer program for implementing the steps of this method when executed on a computer is also disclosed.
摘要翻译：公开了一种从文档中提取关键短语的计算机实现的方法，包括以下步骤：访问包含链接对象的存储库，所述存储库包括表示使用不同表示标准的所述对象之间的关系的第一和第二数据结构; 基于所述第二数据结构中的所述对象之间的进一步关系，通过去除主体之间的链接来修剪第一数据结构; 将所述文档中的短语与修剪的第一数据结构中的对象匹配; 通过删除与匹配对象无关的不匹配的主题，进一步修剪已修剪的第一个数据结构; 确定每个匹配对象的排名; 并使用确定的受试者排名选择关键短语。还公开了一种用于在计算机上执行时实现该方法的步骤的计算机程序。

18. 发明授权

US08589370B2 Acronym extraction 有权
标题翻译：首字母缩略词提取
公开(公告)号：US08589370B2
公开(公告)日：2013-11-19
申请号：US13382094
申请日：2009-07-16
申请人： Shi-Cong Feng , Yuhong Xiong , Wei Liu
发明人： Shi-Cong Feng , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/30
CPC分类号： G06F17/277 , G06F17/2247
摘要： Disclosed is a system and computer-implemented method for extracting an acronym and one or more corresponding expansions of the acronym from a document represented in a markup language. The computer-implemented method comprises: identifying at least one acronym contained in the document; determining one or more expansions of the at least one identified acronym based on a portion of document located proximate the identified acronym; determining a ranking for each determined expansion based attributes of the document; and selecting one or more expansions for an identified acronym using the determined rankings.
摘要翻译：公开了一种用于从以标记语言表示的文档中提取首字母缩略词和首字母缩略词的一个或多个相应扩展的系统和计算机实现的方法。计算机实现的方法包括：识别文档中包含的至少一个首字母缩略词; 基于位于所识别的首字母缩略词附近的文档的一部分来确定所述至少一个所标识的首字母缩略词的一个或多个扩展; 确定文档的每个确定的基于扩展的属性的排名; 并使用确定的排名为所识别的首字母缩写选择一个或多个扩展。

19. 发明申请

US20130036076A1 METHOD FOR KEYWORD EXTRACTION 审中-公开
标题翻译：关键词提取方法
公开(公告)号：US20130036076A1
公开(公告)日：2013-02-07
申请号：US13641054
申请日：2010-04-14
申请人： Sheng-Wen Yang , Yuhong Xiong , Wei Liu
发明人： Sheng-Wen Yang , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/30 , G06F15/18
CPC分类号： G06F16/313 , G06N5/04
摘要： Presented is a method of extracting keywords. The method includes obtaining a corpus of documents, determining a first set of words that appear as keywords in a document present in the corpus of documents, determining a second set of words that appear in the corpus of documents but not necessarily appear as keywords in the document, and determining a final set of keywords for the document by combining the first set of words with the second set of words.
摘要翻译：提出的是提取关键字的方法。该方法包括获得文档语料库，确定出现在文档语料库中的文档中作为关键词出现的第一组单词，确定出现在文档语料库中但不一定作为关键词出现的第二组单词通过将第一组词与第二组词相结合来确定文档的最终关键词集合。

20. 发明申请

US20120278705A1 System and Method for Automatically Extracting Metadata from Unstructured Electronic Documents 有权
标题翻译：从非结构化电子文档自动提取元数据的系统和方法
公开(公告)号：US20120278705A1
公开(公告)日：2012-11-01
申请号：US13258484
申请日：2010-01-18
申请人： Sheng-Wen Yang , Yuhong Xiong , Wei Liu
发明人： Sheng-Wen Yang , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/21
CPC分类号： G06F17/2745 , G06F17/30722
摘要： A system and method for automatically extracting meta data from unstructured electronic documents is disclosed. In one embodiment, the unstructured electronic document is converted into a plain text document. Further, a document header of the unstructured electronic document is extracted from the plain text document using a rule-based document header extractor, where the rule-based document header extractor may be based on a rule that includes determining a ratio of a number of words with their initial letters capitalized in a text line over a total number of words in the text line in the plain text document. Moreover, meta data is extracted from the extracted document header using a heuristic approach.
摘要翻译：公开了一种用于从非结构化电子文档自动提取元数据的系统和方法。在一个实施例中，非结构化电子文档被转换成纯文本文档。此外，使用基于规则的文档头提取器从明文文档中提取非结构化电子文档的文档头，其中基于规则的文档头提取器可以基于包括确定字数的比率的规则他们的初始字母在纯文本文本中的文本行中的文字总数中以大写字母大写。此外，使用启发式方法从提取的文档头中提取元数据。

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