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1. 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。

2. 发明申请

US20080005051A1 Lexicon generation methods, computer implemented lexicon editing methods, lexicon generation devices, lexicon editors, and articles of manufacture 有权
标题翻译：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
公开(公告)号：US20080005051A1
公开(公告)日：2008-01-03
申请号：US11479522
申请日：2006-06-30
申请人： Alan E. Turner , Elizabeth G. Hetzler , Christian Posse
发明人： Alan E. Turner , Elizabeth G. Hetzler , Christian Posse
IPC分类号： G06F15/18 , G06F3/048
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。

3. 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。

4. 发明申请

US20080288425A1 Methods and Apparatus for Reasoning About Information Fusion Approaches 审中-公开
标题翻译：信息融合方法推理的方法与手段
公开(公告)号：US20080288425A1
公开(公告)日：2008-11-20
申请号：US11749916
申请日：2007-05-17
申请人： Christian Posse , Nathaniel Beagley , Jorge F. Reyes Spindola , Stephen C. Tratz , Amanda M. White
发明人： Christian Posse , Nathaniel Beagley , Jorge F. Reyes Spindola , Stephen C. Tratz , Amanda M. White
IPC分类号： G06F15/18
CPC分类号： G06N5/02
摘要： Methods and apparatus for reasoning about information fusion approaches are described according to some aspects. In one aspect, a method for reasoning about information fusion approaches comprises selecting one or more information fusion approaches for evaluation, and applying the approaches to two or more sets of data. The selection of information fusion approaches can be based on a taxonomy that classifies information fusion algorithms. The impact of each of the applied information fusion approaches can then be conveyed to a user, wherein the conveyed impact is based on one or more impact measures.
摘要翻译：根据一些方面描述信息融合方法推理的方法和装置。一方面，关于信息融合方法的推理方法包括选择一种或多种用于评估的信息融合方法，以及将方法应用于两组或更多组数据。信息融合方法的选择可以基于对信息融合算法进行分类的分类法。然后可以将每个应用信息融合方法的影响传达给用户，其中传达的影响基于一个或多个影响度量。

5. 发明授权

US08880562B2 Generating a supplemental description of an entity 有权
标题翻译：生成实体的补充说明
公开(公告)号：US08880562B2
公开(公告)日：2014-11-04
申请号：US13428412
申请日：2012-03-23
申请人： Anmol Bhasin , Jiong Wang , Abhishek Gupta , Alexis Pribula , Ramesh Dommeti , Christian Posse
发明人： Anmol Bhasin , Jiong Wang , Abhishek Gupta , Alexis Pribula , Ramesh Dommeti , Christian Posse
IPC分类号： G06F17/30 , G06F3/00
CPC分类号： G06Q50/01 , G06F17/3053 , G06F17/30554 , G06F17/30702 , G06F17/30867 , G06Q10/10 , G06Q10/1053 , H04L67/30 , H04L67/306
摘要： A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.
摘要翻译：在与目标实体相关联的用户的描述中的统计上超表示的标记可以描述目标实体。无论实体的主要描述包括超额代表的令牌，这可能都是真的。因此，实体描述机器可以访问与目标实体相关联的多个用户的多个描述。多个描述的一部分可以各自包括描述目标实体和多个用户的子集的令牌。实体描述机器可以确定令牌在多个描述内的令牌中被超额表示，并且生成目标实体的补充描述，其中补充描述包括过度表示的令牌。一旦生成补充描述，实体描述机器可以在引用目标实体时使用补充描述。

6. 发明申请

US20140195549A1 SUGGESTED OUT OF NETWORK COMMUNICATION RECIPIENTS 有权
标题翻译：建议网络通信接收方
公开(公告)号：US20140195549A1
公开(公告)日：2014-07-10
申请号：US13772870
申请日：2013-02-21
申请人： Junghoon Ahn , Abhishek Gupta , Christian Posse , Anmol Bhasin , Yurong Shi , Jian Li , Jacob Kessler
发明人： Junghoon Ahn , Abhishek Gupta , Christian Posse , Anmol Bhasin , Yurong Shi , Jian Li , Jacob Kessler
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30861 , G06F17/30991 , H04L51/32 , H04L67/22 , H04L67/306
摘要： Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response.
摘要翻译：在一些示例中公开了用于通过基于一个或多个推荐标准确定社交网络服务的一组潜在推荐成员来推荐网络外通信的方法，系统和机器可读介质。在一些示例中，推荐标准可以包括：与网络外通信的先前目标的简档相似性，发送成员的兴趣和意图之间的对应程度以及响应的可能性。

7. 发明授权

US07805010B2 Cross-ontological analytics for alignment of different classification schemes 有权
标题翻译：跨本体分析用于校准不同的分类方案
公开(公告)号：US07805010B2
公开(公告)日：2010-09-28
申请号：US11493503
申请日：2006-07-25
申请人： Christian Posse , Antonio P Sanfilippo , Banu Gopalan , Roderick M Riensche , Robert L Baddeley
发明人： Christian Posse , Antonio P Sanfilippo , Banu Gopalan , Roderick M Riensche , Robert L Baddeley
IPC分类号： G06K9/62
CPC分类号： G06K9/62 , G06F19/24 , G06F19/28 , G06K9/6892
摘要： Quantification of the similarity between nodes in multiple electronic classification schemes is provided by automatically identifying relationships and similarities between nodes within and across the electronic classification schemes. Quantifying the similarity between a first node in a first electronic classification scheme and a second node in a second electronic classification scheme involves finding a third node in the first electronic classification scheme, wherein a first product value of an inter-scheme similarity value between the second and third nodes and an intra-scheme similarity value between the first and third nodes is a maximum. A fourth node in the second electronic classification scheme can be found, wherein a second product value of an inter-scheme similarity value between the first and fourth nodes and an intra-scheme similarity value between the second and fourth nodes is a maximum. The maximum between the first and second product values represents a measure of similarity between the first and second nodes.
摘要翻译：通过自动识别电子分类方案内和之间的节点之间的关系和相似性，提供了多种电子分类方案中节点之间相似性的量化。量化第一电子分类方案中的第一节点与第二电子分类方案中的第二节点之间的相似度涉及在第一电子分类方案中找到第三节点，其中第二电子分类方案之间的方案间相似性值的第一乘积值并且第三节点和第一和第三节点之间的方案内相似度值是最大的。可以找到第二电子分类方案中的第四节点，其中第一和第四节点之间的方案间相似度值的第二乘积值和第二和第四节点之间的方案间相似度值是最大的。第一和第二乘积值之间的最大值表示第一和第二节点之间的相似性度量。

8. 发明申请

US20070174268A1 Object clustering methods, ensemble clustering methods, data processing apparatus, and articles of manufacture 审中-公开
标题翻译：对象聚类方法，集群聚类方法，数据处理设备和制造
公开(公告)号：US20070174268A1
公开(公告)日：2007-07-26
申请号：US11331529
申请日：2006-01-13
申请人： Christian Posse , Bobbie-Jo Webb-Robertson , Susan Havre , Banu Gopalan , Anuj Shah
发明人： Christian Posse , Bobbie-Jo Webb-Robertson , Susan Havre , Banu Gopalan , Anuj Shah
IPC分类号： G06F17/30
CPC分类号： G06K9/6226 , G06F16/355
摘要： Object clustering methods, ensemble clustering methods, data processing apparatuses, and articles of manufacture are described according to some aspects. In one aspect, an object clustering method includes accessing a plurality of respective cluster results of a plurality of different clustering solutions, wherein the cluster results of an individual one of the different clustering solutions associate a plurality of objects with a plurality of respective first clusters and indicate probabilities of the objects being correctly associated with the respective ones of the first clusters of the respective individual clustering solution, and using the cluster results including the associations of the objects and the first clusters of the respective different clustering solutions and the probabilities of the objects being correctly associated with the respective first clusters of the respective different clustering solutions, generating additional associations of the objects with a plurality of second clusters and wherein the additional associations comprise additional cluster results of an additional clustering solution.
摘要翻译：根据一些方面描述对象聚类方法，集合聚类方法，数据处理设备和制品。在一个方面，一种对象聚类方法包括访问多个不同聚类解的多个相应聚类结果，其中，所述不同聚类解中的单独一个的聚类结果将多个对象与多个相应的第一聚类相关联，并且指示对象正确地与相应的单独聚类解决方案的第一个聚类中相应的对象相关联的概率，并且使用包括各个不同聚类解决方案的对象和第一聚类的关联的聚类结果以及对象的概率与相应的不同聚类解决方案的相应的第一聚类正确相关联，生成对象与多个第二聚类的附加关联，并且其中附加关联包括附加聚类解决方案的附加聚类结果。

9. 发明申请

US20070106493A1 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：US20070106493A1
公开(公告)日：2007-05-10
申请号：US11267370
申请日：2005-11-04
申请人： Antonio Sanfilippo , Stephen Tratz , Michelle Gregory , Alan Chappell , Paul Whitney , Christian Posse , Robert Baddeley , Ryan Hohimer
发明人： Antonio Sanfilippo , Stephen Tratz , Michelle Gregory , Alan Chappell , Paul Whitney , Christian Posse , Robert Baddeley , Ryan Hohimer
IPC分类号： G06F17/27
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。

10. 发明授权

US06892198B2 System and method for personalized information retrieval based on user expertise 失效
公开(公告)号：US06892198B2
公开(公告)日：2005-05-10
申请号：US10172165
申请日：2002-06-14
申请人： Igor Perisic , Christian Posse
发明人： Igor Perisic , Christian Posse
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , Y10S707/99935
摘要： A search request is received at an information retrieval system from a searcher. The search request preferably contains at least one search term and a user identifier. A plurality of objects are then searched based on the at least one search term. At least one located object is found from the plurality of objects. The at least one located object is associated with the search term(s). An intrinsic score based on the search term(s) is subsequently calculated for each located object. The intrinsic score is then adjusted to an adjusted score based on the difference between a creator expertise of a creator of the at least one located object and/or a contributor expertise of a contributor to the at least one located object, and a searcher expertise of the searcher.

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