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11. 发明申请

US20080250015A1 CORPUS EXPANSION SYSTEM AND METHOD THEREOF 有权
标题翻译：公司扩展系统及其方法
公开(公告)号：US20080250015A1
公开(公告)日：2008-10-09
申请号：US12138139
申请日：2008-06-12
申请人： Hong Lei Guo , Li Zhang , Zhao Ming Qiu , Li Qin Shen , Zhi Li Guo
发明人： Hong Lei Guo , Li Zhang , Zhao Ming Qiu , Li Qin Shen , Zhi Li Guo
IPC分类号： G06F17/30
CPC分类号： G06F17/2715 , G06F17/30731
摘要： A system and method for expanding new sample seeds to automatically expand corpora, in which sample seeds are used to collect corpus is provided. The new sample seeds are generated based on the already existed sample seeds and collected corpora; The corpus expansion strategy is determined based on all the sample seeds having been used and new sample seeds: The new sample seeds are refined based on the corpus expansion strategy, and the refined new sample seeds are used to further collect corpus. The above steps are repeatedly executed until predefined condition is satisfied. According to the invention, corpus may be automatically expanded from the web or other resources with low cost and in convenient way to improve the coverage of corpora.
摘要翻译：提供了用于扩展新样本种子以自动扩展语料库的系统和方法，其中使用样本种子收集语料库。新样本种子基于已经存在的样本种子和收集的语料库生成; 基于所使用的所有样本种子和新的样本种子确定语料库扩展策略：基于语料库扩展策略对新样本种子进行细化，并使用精制的新样本种子进一步收集语料库。重复执行上述步骤，直到满足预定条件。根据本发明，语料库可以以低成本和便利的方式从网络或其他资源自动地扩展以提高语料库的覆盖。

12. 发明授权

US09020862B2 Method and system for computer question-answering 有权
标题翻译：计算机问答方法和系统
公开(公告)号：US09020862B2
公开(公告)日：2015-04-28
申请号：US13552998
申请日：2012-07-19
申请人： Yuan Ni , Zhao Ming Qiu , Lei Zhang
发明人： Yuan Ni , Zhao Ming Qiu , Lei Zhang
IPC分类号： G06F15/18 , G06N99/00
CPC分类号： G06N99/005
摘要： A method and system for computer question-answering. The method includes: receiving a plurality of the questions to be trained, and obtaining a candidate answer set for each question; determining part of the questions to which the candidate answer sets include correct answers, and using first feature sets of the candidate; obtaining a first mathematical model, which is used to compute a first confidence degree that the candidate answer is a correct answer; computing first confidence degrees of the candidate answers of all the questions to be trained, and for each question, extracting a second feature set related to the first confidence degrees and the first feature set; and obtaining a second mathematic model, which is used to compute a second confidence degree that the candidate answer is a correct answer based on the second feature set.
摘要翻译：一种计算机问答方法和系统。该方法包括：接收要训练的多个问题，并获得每个问题的候选答案集; 确定候选答案集的问题的一部分包括正确的答案，以及使用候选人的第一特征集; 获得第一数学模型，其用于计算候选答案是正确答案的第一置信度; 计算要训练的所有问题的候选答案的第一置信度，并且对于每个问题，提取与第一置信度和第一特征集相关的第二特征集; 以及获得第二数学模型，所述第二数学模型用于基于所述第二特征集来计算所述候选答案为正确答案的第二置信度。

13. 发明申请

US20130029307A1 METHOD AND SYSTEM FOR COMPUTER QUESTION-ANSWERING 有权
标题翻译：计算机问题解答的方法与系统
公开(公告)号：US20130029307A1
公开(公告)日：2013-01-31
申请号：US13552998
申请日：2012-07-19
申请人： Yuan Ni , Zhao Ming Qiu , Lei Zhang
发明人： Yuan Ni , Zhao Ming Qiu , Lei Zhang
IPC分类号： G09B7/00
CPC分类号： G06N99/005
摘要： A method and system for computer question-answering. The method includes: receiving a plurality of the questions to be trained, and obtaining a candidate answer set for each question; determining part of the questions to which the candidate answer sets include correct answers, and using first feature sets of the candidate; obtaining a first mathematical model, which is used to compute a first confidence degree that the candidate answer is a correct answer; computing first confidence degrees of the candidate answers of all the questions to be trained, and for each question, extracting a second feature set related to the first confidence degrees and the first feature set; and obtaining a second mathematic model, which is used to compute a second confidence degree that the candidate answer is a correct answer based on the second feature set.
摘要翻译：一种计算机问答方法和系统。该方法包括：接收要训练的多个问题，并获得每个问题的候选答案集; 确定候选答案集的问题的一部分包括正确的答案，以及使用候选人的第一特征集; 获得第一数学模型，其用于计算候选答案是正确答案的第一置信度; 计算要训练的所有问题的候选答案的第一置信度，并且对于每个问题，提取与第一置信度和第一特征集相关的第二特征集; 以及获得第二数学模型，所述第二数学模型用于基于所述第二特征集来计算所述候选答案为正确答案的第二置信度。

14. 发明申请

US20120185480A1 METHOD TO IMPROVE THE NAMED ENTITY CLASSIFICATION 审中-公开
标题翻译：改进命名实体分类的方法
公开(公告)号：US20120185480A1
公开(公告)日：2012-07-19
申请号：US13292111
申请日：2011-11-09
申请人： Yuan Ni , Zhao Ming Qiu , Lei Zhang
发明人： Yuan Ni , Zhao Ming Qiu , Lei Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/3071
摘要： A method is described for providing a named entity classification in a computing system having a processor, comprising the steps of the processor reading, from an LOD (Linking Opening Data) set, an LOD node corresponding to a to-be-classified named entity. The processor also determining a type attribute of the LOD node corresponding to the to-be-classified named entity as a tagged type of the to-be-classified named entity and further reading a candidate type. Finally, the processor computing, based on the tagged type, a possibility of the to-be-classified named entity belonging to the candidate type.
摘要翻译：描述了一种用于在具有处理器的计算系统中提供命名实体分类的方法，其包括以下步骤：处理器从LOD（链接开放数据）集合读取对应于被分类的命名实体的LOD节点。处理器还将对应于待分类命名实体的LOD节点的类型属性确定为待分类命名实体的标记类型，并进一步读取候选类型。最后，基于标记类型的处理器计算属于候选类型的被分类命名实体的可能性。

15. 发明授权

US07805288B2 Corpus expansion system and method thereof 有权
标题翻译：语料库扩展系统及其方法
公开(公告)号：US07805288B2
公开(公告)日：2010-09-28
申请号：US12138139
申请日：2008-06-12
申请人： Hong Lei Guo , Zhi Li Guo , Zhao Ming Qiu , Li Qin Shen , Li Zhang
发明人： Hong Lei Guo , Zhi Li Guo , Zhao Ming Qiu , Li Qin Shen , Li Zhang
IPC分类号： G06F17/20
CPC分类号： G06F17/2715 , G06F17/30731
摘要： A system and method for expanding new sample seeds to automatically expand corpora, in which sample seeds are used to collect corpus is provided. The new sample seeds are generated based on the already existed sample seeds and collected corpora; The corpus expansion strategy is determined based on all the sample seeds having been used and new sample seeds: The new sample seeds are refined based on the corpus expansion strategy, and the refined new sample seeds are used to further collect corpus. The above steps are repeatedly executed until predefined condition is satisfied. According to the invention, corpus may be automatically expanded from the web or other resources with low cost and in convenient way to improve the coverage of corpora.
摘要翻译：提供了用于扩展新样本种子以自动扩展语料库的系统和方法，其中使用样本种子收集语料库。新样本种子基于已经存在的样本种子和收集的语料库生成; 基于所使用的所有样本种子和新的样本种子确定语料库扩展策略：基于语料库扩展策略对新样本种子进行细化，并使用精制的新样本种子进一步收集语料库。重复执行上述步骤，直到满足预定条件。根据本发明，语料库可以以低成本和便利的方式从网络或其他资源自动地扩展以提高语料库的覆盖。

16. 发明授权

US07149681B2 Method, system and program product for resolving word ambiguity in text language translation 有权
标题翻译：用于解决文本语言翻译中词义模糊的方法，系统和程序产品
公开(公告)号：US07149681B2
公开(公告)日：2006-12-12
申请号：US09740780
申请日：2000-12-19
申请人： Gang Hu , Jian Min Jiang , Zhao Ming Qiu , Donald T. Tang , Li Ping Yang
发明人： Gang Hu , Jian Min Jiang , Zhao Ming Qiu , Donald T. Tang , Li Ping Yang
IPC分类号： G06F17/27
CPC分类号： G06F17/2785 , G06F17/2845 , G06F17/2872
摘要： This invention discloses a computer translation method and system for resoving word ambiguity. During translating a text in a first language, checking whether or not the word to be translated or the sentence containing the word has additional related text that is associated by a linkage. When the meaning of the word can not be uniquely determined in a second language by analyzing the context than the related text is obtained according to the linkage and the word is translated using both the immediate text and the related text. The linkage mechanism is described as a hyperlink in a HTML document.
摘要翻译：本发明公开了一种用于解决词义模糊的计算机翻译方法和系统。在翻译第一语言的文本时，检查要翻译的单词是否包含该单词的句子具有由链接相关联的附加相关文本。当通过分析上下文而不能以第二语言唯一确定单词的含义时，根据链接获得相关文本，并且使用立即文本和相关文本翻译该单词。链接机制被描述为HTML文档中的超链接。

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