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1. 发明授权

US08036876B2 Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture 有权
标题翻译：定义本体，消除消歧方法，计算机系统和制造品的方法
公开(公告)号：US08036876B2
公开(公告)日：2011-10-11
申请号：US11267370
申请日：2005-11-04
申请人： Antonio P. Sanfilippo , Stephen C. Tratz , Michelle L. Gregory , Alan R. Chappell , Paul D. Whitney , Christian Posse , Robert L. Baddeley , Ryan E. Hohimer
发明人： Antonio P. Sanfilippo , Stephen C. Tratz , Michelle L. Gregory , Alan R. Chappell , Paul D. Whitney , Christian Posse , Robert L. Baddeley , Ryan E. Hohimer
IPC分类号： G06F17/28 , G06F17/21
CPC分类号： G06F17/2785 , G06F17/30734
摘要： Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture are described according to some aspects. In one aspect, a word disambiguation method includes accessing textual content to be disambiguated, wherein the textual content comprises a plurality of words individually comprising a plurality of word senses, for an individual word of the textual content, identifying one of the word senses of the word as indicative of the meaning of the word in the textual content, for the individual word, selecting one of a plurality of event classes of a lexical database ontology using the identified word sense of the individual word, and for the individual word, associating the selected one of the event classes with the textual content to provide disambiguation of a meaning of the individual word in the textual content.
摘要翻译：根据一些方面描述定义本体，消除消歧方法，计算机系统和制品的方法。在一个方面，一种消除歧义的方法包括访问要消除歧义的文本内容，其中文本内容包括单独包含多个单词感觉的多个单词，对于文本内容的单个单词，识别文本内容的单词感觉字表示文本内容中单词的含义，对于单词，使用所识别的单词的单词感觉选择词汇数据库本体的多个事件类中的一个，并且对于单个词，将单词相关联选择具有文本内容的事件类之一，以提供对文本内容中单个词的含义的歧义。

2. 发明授权

US08140464B2 Hypothesis analysis methods, hypothesis analysis devices, and articles of manufacture 有权
标题翻译：假设分析方法，假设分析装置和制品
公开(公告)号：US08140464B2
公开(公告)日：2012-03-20
申请号：US11414069
申请日：2006-04-28
申请人： Antonio P. Sanfilippo , Andrew J. Cowell , Michelle L. Gregory , Robert L. Baddeley , Patrick R. Paulson , Stephen C. Tratz , Ryan E. Hohimer
发明人： Antonio P. Sanfilippo , Andrew J. Cowell , Michelle L. Gregory , Robert L. Baddeley , Patrick R. Paulson , Stephen C. Tratz , Ryan E. Hohimer
IPC分类号： G06F9/44 , G06F17/00 , G06N7/02 , G06N7/06 , G06N5/02
CPC分类号： G06N7/005 , Y10S706/911
摘要： Hypothesis analysis methods, hypothesis analysis devices, and articles of manufacture are described according to some aspects. In one aspect, a hypothesis analysis method includes providing a hypothesis, providing an indicator which at least one of supports and refutes the hypothesis, using the indicator, associating evidence with the hypothesis, weighting the association of the evidence with the hypothesis, and using the weighting, providing information regarding the accuracy of the hypothesis.
摘要翻译：根据一些方面描述假设分析方法，假设分析装置和制造物品。一方面，一种假设分析方法包括提供一个假设，提供一个指标，其中至少一个支持和驳斥该假设，使用该指标，将证据与假设相关联，加权证据与该假设的关联，以及使用加权，提供有关假设准确性的信息。

3. 发明授权

US07822701B2 Lexicon generation methods, lexicon generation devices, and lexicon generation articles of manufacture 有权
标题翻译：词典生成方法，词汇生成装置和词汇生成制品
公开(公告)号：US07822701B2
公开(公告)日：2010-10-26
申请号：US11479522
申请日：2006-06-30
申请人： Richard J. Carter , Jonathon D. McCall , Paul D. Whitney , Michelle L. Gregory , Alan E. Turner , Elizabeth G. Hetzler , Amanda M. White , Christian Posse , Grant C. Nakamura
发明人： Richard J. Carter , Jonathon D. McCall , Paul D. Whitney , Michelle L. Gregory , Alan E. Turner , Elizabeth G. Hetzler , Amanda M. White , Christian Posse , Grant C. Nakamura
IPC分类号： G06N7/00
CPC分类号： G06F17/2735
摘要： Lexicon generation methods, computer implemented lexicon editing methods, lexicon generation devices, lexicon editors, and articles of manufacture are described according to some aspects. In one aspect, a lexicon generation method includes providing a seed vector indicative of occurrences of a plurality of seed terms within a plurality of text items, providing a plurality of content vectors indicative of occurrences of respective ones of a plurality of content terms within the text items, comparing individual ones of the content vectors with respect to the seed vector, and responsive to the comparing, selecting at least one of the content terms as a term of a lexicon usable in sentiment analysis of text.
摘要翻译：根据一些方面描述词汇生成方法，计算机实现的词典编辑方法，词典生成装置，词典编辑器和制品。在一个方面，词典生成方法包括提供表示多个文本项目中的多个种子项目的出现的种子矢量，提供表示文本内的多个内容项目中各个内容项目的出现次数的多个内容向量项目，比较各个内容向量相对于种子向量，并且响应于比较，将内容词中的至少一个选择为可用于文本的情感分析中的词典的术语。

4. 发明申请

US20120221545A1 ISOLATING DESIRED CONTENT, METADATA, OR BOTH FROM SOCIAL MEDIA 有权
标题翻译：分离所需的内容，元数据，或两个来自社会媒体
公开(公告)号：US20120221545A1
公开(公告)日：2012-08-30
申请号：US13036776
申请日：2011-02-28
申请人： Eric B. Bell , Shawn J. Bohn , Andrew J. Cowell , Michelle L. Gregory , Eric J. Marshall , Deborah A. Payne
发明人： Eric B. Bell , Shawn J. Bohn , Andrew J. Cowell , Michelle L. Gregory , Eric J. Marshall , Deborah A. Payne
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06F17/30864
摘要： Desired content, metadata, or both can be isolated from the full content of social media websites having content-rich pages. Achieving this can include obtaining from the content-rich pages a language-independent representation having a hierarchical structure of nodes and then generating a node representation for each node. Feature vectors for the nodes are generated and a label is assigned to each node representation according to a schema. Assignment can occur by executing a trained classification algorithm on the feature vectors. The schema has schema elements and each schema element corresponds to a label. For each schema element, all node representations having matching labels are gathered and then one node representation is elected from among those with matching labels to be assigned to a schema element field in a template. The template can be applied to extract desired content, metadata, or both according to the schema from all the content-rich pages.
摘要翻译：期望的内容，元数据或两者都可以从具有内容丰富的网页的社交媒体网站的完整内容中隔离开来。实现这一点可以包括从内容丰富的页面获得具有节点的分层结构然后为每个节点生成节点表示的独立于语言的表示。生成节点的特征向量，并根据模式将标签分配给每个节点表示。可以通过对特征向量执行经过训练的分类算法来进行分配。模式具有模式元素，每个模式元素对应于一个标签。对于每个模式元素，收集具有匹配标签的所有节点表示，然后从具有匹配标签的那些中选择一个节点表示，以将其分配给模板中的模式元素字段。该模板可以应用于根据所有富含内容的页面的模式提取所需内容，元数据或二者。

5. 发明授权

US08239425B1 Isolating desired content, metadata, or both from social media 有权
标题翻译：从社交媒体隔离所需的内容，元数据或两者
公开(公告)号：US08239425B1
公开(公告)日：2012-08-07
申请号：US13036776
申请日：2011-02-28
申请人： Eric B. Bell , Shawn J. Bohn , Andrew J. Cowell , Michelle L. Gregory , Eric J. Marshall , Deborah A. Payne
发明人： Eric B. Bell , Shawn J. Bohn , Andrew J. Cowell , Michelle L. Gregory , Eric J. Marshall , Deborah A. Payne
IPC分类号： G06F7/00
CPC分类号： G06F17/30705 , G06F17/30864
摘要： Desired content, metadata, or both can be isolated from the full content of social media websites having content-rich pages. Achieving this can include obtaining from the content-rich pages a language-independent representation having a hierarchical structure of nodes and then generating a node representation for each node. Feature vectors for the nodes are generated and a label is assigned to each node representation according to a schema. Assignment can occur by executing a trained classification algorithm on the feature vectors. The schema has schema elements and each schema element corresponds to a label. For each schema element, all node representations having matching labels are gathered and then one node representation is elected from among those with matching labels to be assigned to a schema element field in a template. The template can be applied to extract desired content, metadata, or both according to the schema from all the content-rich pages.
摘要翻译：期望的内容，元数据或两者都可以从具有内容丰富的网页的社交媒体网站的完整内容中隔离开来。实现这一点可以包括从内容丰富的页面获得具有节点的分层结构然后为每个节点生成节点表示的独立于语言的表示。生成节点的特征向量，并根据模式将标签分配给每个节点表示。可以通过对特征向量执行经过训练的分类算法来进行分配。模式具有模式元素，每个模式元素对应于一个标签。对于每个模式元素，收集具有匹配标签的所有节点表示，然后从具有匹配标签的那些中选择一个节点表示，以将其分配给模板中的模式元素字段。该模板可以应用于根据所有富含内容的页面的模式提取所需内容，元数据或二者。

6. 发明授权

US08700629B2 Automatic identification of abstract online groups 有权
标题翻译：自动识别抽象的在线组
公开(公告)号：US08700629B2
公开(公告)日：2014-04-15
申请号：US13540759
申请日：2012-07-03
申请人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
发明人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06Q10/10 , G06Q50/01
摘要： Online abstract groups, in which members aren't explicitly connected, can be automatically identified by computer-implemented methods. The methods involve harvesting records from social media and extracting content-based and structure-based features from each record. Each record includes a social-media posting and is associated with one or more entities. Each feature is stored on a data storage device and includes a computer-readable representation of an attribute of one or more records. The methods further involve grouping records into record groups according to the features of each record. Further still the methods involve calculating an n-dimensional surface representing each record group and defining an outlier as a record having feature-based distances measured from every n-dimensional surface that exceed a threshold value. Each of the n-dimensional surfaces is described by a footprint that characterizes the respective record group as an online abstract group.
摘要翻译：成员未明确连接的在线抽象组可以通过计算机实现的方法自动识别。这些方法涉及从社交媒体中收集记录，并从每个记录中提取基于内容和基于结构的功能。每个记录包括社交媒体发布，并与一个或多个实体相关联。每个特征被存储在数据存储设备上，并且包括一个或多个记录的属性的计算机可读表示。这些方法还包括根据每个记录的特征将记录分组到记录组中。此外，所述方法还包括计算表示每个记录组的n维表面，并将异常值定义为具有从超过阈值的每个n维表面测量的基于特征的距离的记录。 n维表面中的每一个由描绘为相应记录组作为在线抽象组的印迹来描述。

7. 发明申请

US20130191390A1 Automatic Identification of Abstract Online Groups 有权
标题翻译：抽象在线组的自动识别
公开(公告)号：US20130191390A1
公开(公告)日：2013-07-25
申请号：US13540759
申请日：2012-07-03
申请人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
发明人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06Q10/10 , G06Q50/01
摘要： Online abstract groups, in which members aren't explicitly connected, can be automatically identified by computer-implemented methods. The methods involve harvesting records from social media and extracting content-based and structure-based features from each record. Each record includes a social-media posting and is associated with one or more entities. Each feature is stored on a data storage device and includes a computer-readable representation of an attribute of one or more records. The methods further involve grouping records into record groups according to the features of each record. Further still the methods involve calculating an n-dimensional surface representing each record group and defining an outlier as a record having feature-based distances measured from every n-dimensional surface that exceed a threshold value. Each of the n-dimensional surfaces is described by a footprint that characterizes the respective record group as an online abstract group.
摘要翻译：成员未明确连接的在线抽象组可以通过计算机实现的方法自动识别。这些方法涉及从社交媒体中收集记录，并从每个记录中提取基于内容和基于结构的功能。每个记录包括社交媒体发布，并与一个或多个实体相关联。每个特征被存储在数据存储设备上，并且包括一个或多个记录的属性的计算机可读表示。这些方法还包括根据每个记录的特征将记录分组到记录组中。此外，所述方法还包括计算表示每个记录组的n维表面，并将异常值定义为具有从超过阈值的每个n维表面测量的基于特征的距离的记录。 n维表面中的每一个由描绘为相应记录组作为在线抽象组的印迹来描述。

8. 发明申请

US20080306899A1 METHODS, APPARATUS, AND COMPUTER-READABLE MEDIA FOR ANALYZING CONVERSATIONAL-TYPE DATA 审中-公开
标题翻译：方法，装置和计算机可读介质，用于分析对数型数据
公开(公告)号：US20080306899A1
公开(公告)日：2008-12-11
申请号：US11759803
申请日：2007-06-07
申请人： Michelle L. Gregory , Stuart J. Rose , Douglas V. Love , Anne Schur
发明人： Michelle L. Gregory , Stuart J. Rose , Douglas V. Love , Anne Schur
IPC分类号： G06F17/30
CPC分类号： G06F16/345
摘要： Methods, apparatus, and computer-readable media for analyzing conversational-type data by association of two or more types of extracted information in view of time are disclosed according to some aspects. In one embodiment, analysis of conversational-type data comprises identification of topical segments within the conversational-type data and linking of the topical segments with at least one other type of pertinent, extracted information. The linking can be based on a sequential order of utterances that compose, at least in part, the conversational-type data.
摘要翻译：根据一些方面公开了通过根据时间的两种或更多种类型的提取信息的关联来分析对话型数据的方法，装置和计算机可读介质。在一个实施例中，对话类型数据的分析包括识别对话类型数据内的主题片段以及将主题片段与至少一种其他类型的相关提取信息的链接。链接可以基于至少部分地形成对话型数据的话语的顺序。

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