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1. 发明授权

US08914452B2 Automatically generating a personalized digest of meetings 有权
标题翻译：自动生成会议的个性化摘要
公开(公告)号：US08914452B2
公开(公告)日：2014-12-16
申请号：US13485415
申请日：2012-05-31
申请人： Jeffrey S. Boston , Jennifer C. Lai , Shimei Pan , Mercan Topkara , Stephen P. Wood
发明人： Jeffrey S. Boston , Jennifer C. Lai , Shimei Pan , Mercan Topkara , Stephen P. Wood
IPC分类号： G06F15/16
CPC分类号： G06K9/00751 , G06F17/278 , G06F17/30719 , G06Q10/10
摘要： Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.
摘要翻译：提供自动生成一组会议的会议摘要。使用与用户相关联的用户模型来检测该组会议的各方感兴趣的一组主题，该用户模型基于该组会议的各方的通信，关系和角色中的至少一个。与与该组会议相对应的会议数据中提取与各方感兴趣的主题相关联的主题相关内容。然后，使用与会议数据相对应的会议数据提取的与各方感兴趣的主题相关联的主题相关内容，生成会议摘要。

2. 发明申请

US20130325972A1 AUTOMATICALLY GENERATING A PERSONALIZED DIGEST OF MEETINGS 有权
标题翻译：自动生成个性化会议的最佳会议
公开(公告)号：US20130325972A1
公开(公告)日：2013-12-05
申请号：US13485415
申请日：2012-05-31
申请人： Jeffrey S. Boston , Jennifer C. Lai , Shimei Pan , Mercan Topkara , Stephen P. Wood
发明人： Jeffrey S. Boston , Jennifer C. Lai , Shimei Pan , Mercan Topkara , Stephen P. Wood
IPC分类号： G06F15/16
CPC分类号： G06K9/00751 , G06F17/278 , G06F17/30719 , G06Q10/10
摘要： Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.
摘要翻译：提供自动生成一组会议的会议摘要。使用与用户相关联的用户模型来检测该组会议的各方感兴趣的一组主题，该用户模型基于该组会议的各方的通信，关系和角色中的至少一个。与与该组会议相对应的会议数据中提取与各方感兴趣的主题相关联的主题相关内容。然后，使用与会议数据相对应的会议数据提取的与各方感兴趣的主题相关联的主题相关内容，生成会议摘要。

3. 发明授权

US09256862B2 Multi-tiered approach to E-mail prioritization 有权
标题翻译：多层次的电子邮件优先排序方法
公开(公告)号：US09256862B2
公开(公告)日：2016-02-09
申请号：US13528598
申请日：2012-06-20
申请人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
发明人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
IPC分类号： G06F15/18 , G06Q10/10
CPC分类号： G06Q10/107
摘要： A method of automating incoming message prioritization. The method including training a global classifier of a computer system using training data. Dynamically training a user-specific classifier of the computer system based on a plurality of feedback instances. Inferring a topic of the incoming message received by the computer system based on a topic-based user model. Computing a plurality of contextual features of the incoming message. Determining a priority classification strategy for assigning a priority level to the incoming message based on the computed contextual features of the incoming message and a weighted combination of the global classifier and the user specific classifier. Classifying the incoming message based on the priority classification strategy.
摘要翻译：一种自动传入消息优先级的方法。该方法包括使用训练数据训练计算机系统的全局分类器。基于多个反馈实例动态训练计算机系统的用户专用分类器。基于基于主题的用户模型推断计算机系统接收到的传入消息的主题。计算传入消息的多个上下文特征。确定用于基于输入消息的计算的上下文特征以及全局分类器和用户特定分类器的加权组合来为入局消息分配优先级的优先级分类策略。根据优先级分类策略对传入的消息进行分类。

4. 发明申请

US20130339276A1 MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION 审中-公开
标题翻译：电子邮件优先的多层次的方法
公开(公告)号：US20130339276A1
公开(公告)日：2013-12-19
申请号：US13528598
申请日：2012-06-20
申请人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
发明人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
IPC分类号： G06F15/18
CPC分类号： G06Q10/107
摘要： A method of automating incoming message prioritization. The method including training a global classifier of a computer system using training data. Dynamically training a user-specific classifier of the computer system based on a plurality of feedback instances. Inferring a topic of the incoming message received by the computer system based on a topic-based user model. Computing a plurality of contextual features of the incoming message. Determining a priority classification strategy for assigning a priority level to the incoming message based on the computed contextual features of the incoming message and a weighted combination of the global classifier and the user specific classifier. Classifying the incoming message based on the priority classification strategy.
摘要翻译：一种自动传入消息优先级的方法。该方法包括使用训练数据训练计算机系统的全局分类器。基于多个反馈实例动态训练计算机系统的用户专用分类器。基于基于主题的用户模型推断计算机系统接收到的传入消息的主题。计算传入消息的多个上下文特征。确定用于基于输入消息的计算的上下文特征以及全局分类器和用户特定分类器的加权组合来为入局消息分配优先级的优先级分类策略。根据优先级分类策略对传入的消息进行分类。

5. 发明申请

US20130212047A1 MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION 有权
标题翻译：电子邮件优先的多层次的方法
公开(公告)号：US20130212047A1
公开(公告)日：2013-08-15
申请号：US13525173
申请日：2012-06-15
申请人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
发明人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
IPC分类号： G06F15/18
CPC分类号： G06Q10/107 , G06N5/00
摘要： An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy.
摘要翻译：一种用于自动化进入消息的优先级的装置，包括基于输入到批量学习模块的训练数据生成全局分类器的批量学习模块。反馈学习模块，其基于多个反馈实例生成用户特定的分类器。一种特征提取模块，其接收所述传入消息和基于主题的用户模型，基于所述基于所述主题的用户模型推断所述传入消息的主题，并且计算所述传入消息的多个上下文特征。一种分类模块，其基于所述输入消息的所述多个上下文特征以及所述全局分类器和所述用户特定分类器的加权组合来动态地确定用于向所述传入消息分配优先级的优先级分类策略，并且对所述传入消息进行分类基于优先级分类策略。

6. 发明授权

US09152953B2 Multi-tiered approach to E-mail prioritization 有权
标题翻译：多层次的电子邮件优先排序方法
公开(公告)号：US09152953B2
公开(公告)日：2015-10-06
申请号：US13525173
申请日：2012-06-15
申请人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
发明人： Jennifer C. Lai , Jie Lu , Shimei Pan , Zhen Wen
IPC分类号： G06F15/18 , G06Q10/10 , G06N5/00
CPC分类号： G06Q10/107 , G06N5/00
摘要： An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy.
摘要翻译：一种用于自动化进入消息的优先级的装置，包括基于输入到批量学习模块的训练数据生成全局分类器的批量学习模块。反馈学习模块，其基于多个反馈实例生成用户特定的分类器。一种特征提取模块，其接收所述传入消息和基于主题的用户模型，基于所述基于所述主题的用户模型推断所述传入消息的主题，并且计算所述传入消息的多个上下文特征。一种分类模块，其基于所述输入消息的所述多个上下文特征以及所述全局分类器和所述用户特定分类器的加权组合来动态地确定用于向所述传入消息分配优先级的优先级分类策略，并且对所述传入消息进行分类基于优先级分类策略。

7. 发明授权

US06686839B2 Method and system for noise notification 失效
标题翻译：噪声通知方法和系统
公开(公告)号：US06686839B2
公开(公告)日：2004-02-03
申请号：US09824673
申请日：2001-04-04
申请人： Paul Bao-Luo Chou , Marco O. Gruteser , Jennifer C. Lai , Anthony Levas , Paul Andrew Moskowitz , Danny Chan Yong Wong
发明人： Paul Bao-Luo Chou , Marco O. Gruteser , Jennifer C. Lai , Anthony Levas , Paul Andrew Moskowitz , Danny Chan Yong Wong
IPC分类号： G08B2100
CPC分类号： G08B23/00 , G08B13/1672
摘要： A system (and method) includes a sound monitoring system, a detector for identifying a source of the sound, a computing system for processing the sound to trigger a notification event, and a user interface system for notifying at least one individual responsible for the sound.
摘要翻译：系统（和方法）包括声音监测系统，用于识别声源的检测器，用于处理声音以触发通知事件的计算系统，以及用于通知负责声音的至少一个人的用户界面系统。

8. 发明申请

US20080228585A1 Methods and Apparatus for Presenting Personazlized Information to Consumers in a Retail Environment 有权
标题翻译：在零售环境中向消费者呈现个性化信息的方法和装置
公开(公告)号：US20080228585A1
公开(公告)日：2008-09-18
申请号：US12127101
申请日：2008-05-27
申请人： Sastry S. Duri , Jeffrey G. Elliott , Jennifer C. Lai , Xuan Liu , Paul A. Moskowitz , Jung-Mu Tang , Todd C. Werden , Danny Chan-Yong Wong
发明人： Sastry S. Duri , Jeffrey G. Elliott , Jennifer C. Lai , Xuan Liu , Paul A. Moskowitz , Jung-Mu Tang , Todd C. Werden , Danny Chan-Yong Wong
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0224 , G06Q30/0255 , G06Q30/0271 , G06Q30/0273
摘要： Methods and apparatus are provided for presenting personalized information to consumers in a retail environment. A personalized price is determined for at least one product that is in physical proximity to the customer. The physical proximity may be determined, for example, by evaluating identifiers, such as RHD tags, associated with each customer and product. A personalized message can be also presented to a customer regarding at least one product that is in physical proximity to the customer. The personalized message can provide, for example, dietary or safety information relevant to the customer and at least one product in the proximity of the customer. The personalized information may be determined based on one or more personalized message rules.
摘要翻译：提供了用于在零售环境中向消费者呈现个性化信息的方法和装置。为至少一个物理上接近客户的产品确定个性化价格。物理接近度可以例如通过评估与每个顾客和产品相关联的标识符，例如RHD标签来确定。关于至少一个物理上靠近顾客的产品，也可以向客户呈现个性化的消息。个性化消息可以提供例如与客户相关的饮食或安全信息以及在顾客附近的至少一种产品。可以基于一个或多个个性化消息规则来确定个性化信息。

9. 发明授权

US5477451A Method and system for natural language translation 失效
标题翻译：自然语言翻译方法与系统
公开(公告)号：US5477451A
公开(公告)日：1995-12-19
申请号：US736278
申请日：1991-07-25
申请人： Peter F. Brown , John Cocke , Stephen A. Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , Jennifer C. Lai , Robert L. Mercer
发明人： Peter F. Brown , John Cocke , Stephen A. Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , Jennifer C. Lai , Robert L. Mercer
IPC分类号： G10L15/14 , G06F17/27 , G06F17/28 , G10L15/00 , G06F17/20
CPC分类号： G06F17/2818 , G06F17/2755 , G06F17/2845 , G06F17/2872
摘要： The present invention is a system for translating text from a first source language into a second target language. The system assigns probabilities or scores to various target-language translations and then displays or makes otherwise available the highest scoring translations. The source text is first transduced into one or more intermediate structural representations. From these intermediate source structures a set of intermediate target-structure hypotheses is generated. These hypotheses are scored by two different models: a language model which assigns a probability or score to an intermediate target structure, and a translation model which assigns a probability or score to the event that an intermediate target structure is translated into an intermediate source structure. Scores from the translation model and language model are combined into a combined score for each intermediate target-structure hypothesis. Finally, a set of target-text hypotheses is produced by transducing the highest scoring target-structure hypotheses into portions of text in the target language. The system can either run in batch mode, in which case it translates source-language text into a target language without human assistance, or it can function as an aid to a human translator. When functioning as an aid to a human translator, the human may simply select from the various translation hypotheses provided by the system, or he may optionally provide hints or constraints on how to perform one or more of the stages of source transduction, hypothesis generation and target transduction.
摘要翻译：本发明是用于将文本从第一源语言翻译成第二目标语言的系统。系统将概率或分数分配给各种目标语言翻译，然后显示或使其他可用的最高得分翻译。源文本首先被转换成一个或多个中间结构表示。从这些中间源结构生成一组中间目标结构假设。这些假设用两种不同的模型进行评分：将中间目标结构分配概率或分数的语言模型，以及将中间目标结构转换为中间源结构的事件分配概率或分数的翻译模型。翻译模型和语言模型的得分被组合为每个中间目标结构假说的综合得分。最后，通过将目标语言文本的最高得分目标结构假设转换为部分文本来产生一组目标文本假设。该系统可以以批处理模式运行，在这种情况下，它将源语言文本转换为目标语言，而无需人工帮助，或者可以作为人类翻译器的辅助功能。人类可以简单地从系统提供的各种翻译假设中进行选择，或者可选择地提供关于如何执行源转换，假设生成的一个或多个阶段的提示或限制，靶转导。

10. 发明授权

US08364530B2 Methods and apparatus for presenting personalized information to consumers in a retail environment 有权
标题翻译：在零售环境中向消费者呈现个性化信息的方法和装置
公开(公告)号：US08364530B2
公开(公告)日：2013-01-29
申请号：US12127101
申请日：2008-05-27
申请人： Sastry S. Duri , Jeffrey G. Elliott , Jennifer C. Lai , Xuan Liu , Paul A. Moskowitz , Jung-Mu Tang , Todd C. Werden , Danny Chan-Yong Wong
发明人： Sastry S. Duri , Jeffrey G. Elliott , Jennifer C. Lai , Xuan Liu , Paul A. Moskowitz , Jung-Mu Tang , Todd C. Werden , Danny Chan-Yong Wong
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0224 , G06Q30/0255 , G06Q30/0271 , G06Q30/0273
摘要： Methods and apparatus are provided for presenting personalized information to consumers in a retail environment. A personalized price is determined for at least one product that is in physical proximity to the customer. The physical proximity may be determined, for example, by evaluating identifiers, such as RFID tags, associated with each customer and product. A personalized message can be also presented to a customer regarding at least one product that is in physical proximity to the customer. The personalized message can provide, for example, dietary or safety information relevant to the customer and at least one product in the proximity of the customer. The personalized information may be determined based on one or more personalized message rules.
摘要翻译：提供了用于在零售环境中向消费者呈现个性化信息的方法和装置。为至少一个物理上接近客户的产品确定个性化价格。物理接近度可以例如通过评估与每个顾客和产品相关联的诸如RFID标签的标识来确定。关于至少一个物理上靠近顾客的产品，也可以向客户呈现个性化的消息。个性化消息可以提供例如与客户相关的饮食或安全信息以及在顾客附近的至少一种产品。可以基于一个或多个个性化消息规则来确定个性化信息。

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