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1.发明申请SEMANTIC PROCESSOR FOR RECOGNITION OF WHOLE-PART RELATIONS IN NATURAL LANGUAGE DOCUMENTS 有权用于识别自然语言文件中全部关系的语义处理者公开(公告)号：US20070156393A1
公开(公告)日：2007-07-05
申请号：US11686660
申请日：2007-03-15
IPC分类号： G06F17/27
CPC分类号： G06F17/2785 , G06F17/21 , G06F17/27 , G06F17/30719
摘要： A semantic processor and method for automatically recognizing Whole-Part relations in at least one natural language electronic or digital document recognizes one or more expanded Subject-Action-Object (eSAO) sets in text, wherein each eSAO set has one or more eSAO components; matches the one or more eSAO sets against Whole-Part relationship patterns, and generates one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO.
摘要翻译： 用于自动识别至少一种自然语言电子或数字文档中的全部关系的语义处理器和方法识别文本中的一个或多个扩展的主题 - 动作对象（eSAO）集合，其中每个eSAO集合具有一个或多个eSAO组件; 匹配一个或多个eSAO集合对全部关系模式，并且基于匹配产生一个或多个eSAO全部关系，其中eSAO全部关系包括全部eSAO和部分eSAO。
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2.发明授权Semantic processor for recognition of whole-part relations in natural language documents 有权用于识别自然语言文档中全部关系的语义处理器公开(公告)号：US08799776B2
公开(公告)日：2014-08-05
申请号：US11686660
申请日：2007-03-15
CPC分类号： G06F17/2785 , G06F17/21 , G06F17/27 , G06F17/30719
摘要： A semantic processor and method for automatically recognizing Whole-Part relations in at least one natural language electronic or digital document recognizes one or more expanded Subject-Action-Object (eSAO) sets in text, wherein each eSAO set has one or more eSAO components; matches the one or more eSAO sets against Whole-Part relationship patterns, and generates one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO.
摘要翻译： 用于自动识别至少一种自然语言电子或数字文档中的全部关系的语义处理器和方法识别文本中的一个或多个扩展的主题 - 动作对象（eSAO）集合，其中每个eSAO集合具有一个或多个eSAO组件; 匹配一个或多个eSAO集合对全部关系模式，并且基于匹配产生一个或多个eSAO全部关系，其中eSAO全部关系包括全部eSAO和部分eSAO。
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3.发明申请公开(公告)号：US20060041424A1
公开(公告)日：2006-02-23
申请号：US11258250
申请日：2005-10-24
CPC分类号： G06F17/2785 , G06F17/30719
摘要： A Semantic Processor for the recognition of Cause-Effect relations in natural language documents which includes a Text Preformatter, a Linguistic Analyzer and a Cause-Effect Knowledge Base Generator. The Semantic Processor provides automatic recognition of cause-effect relation both inside single fact and between the facts in arbitrary text documents, where the facts are also automatically extracted from the text in the form of seven-field semantic units. The recognition of Cause-Effect relations is carried out on the basis of linguistic (including semantic) text analysis and a number of recognizing linguistic models built in the form of patterns.
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4.发明授权Semantic processor for recognition of cause-effect relations in natural language documents 有权用于识别自然语言文件中因果关系的语义处理器公开(公告)号：US09009590B2
公开(公告)日：2015-04-14
申请号：US11258250
申请日：2005-10-24
CPC分类号： G06F17/2785 , G06F17/30719
摘要： A Semantic Processor for the recognition of Cause-Effect relations in natural language documents which includes a Text Preformatter, a Linguistic Analyzer and a Cause-Effect Knowledge Base Generator. The Semantic Processor provides automatic recognition of cause-effect relation both inside single fact and between the facts in arbitrary text documents, where the facts are also automatically extracted from the text in the form of seven-field semantic units. The recognition of Cause-Effect relations is carried out on the basis of linguistic (including semantic) text analysis and a number of recognizing linguistic models built in the form of patterns.
摘要翻译： 用于识别自然语言文档中的因果关系的语义处理器，其包括文本预格式化，语言分析器和因果效应知识库生成器。 语义处理器在单个事实之间和任意文本文档中的事实之间提供对因果关系的自动识别，其中事实也以七场语义单位的形式从文本中自动提取。 因果关系的识别是在语言（包括语义）文本分析和一些以模式形式建立的识别语言模型的基础上进行的。
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