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1. 发明授权

US07904297B2 Dialogue management using scripts and combined confidence scores 有权
标题翻译：对话管理使用脚本和组合的置信分数
公开(公告)号：US07904297B2
公开(公告)日：2011-03-08
申请号：US11298765
申请日：2005-12-08
申请人： Danilo Mirkovic , Lawrence Cavedon , Matthew Purver , Florin Ratiu , Tobias Scheideck , Fuliang Weng , Qi Zhang , Kui Xu
发明人： Danilo Mirkovic , Lawrence Cavedon , Matthew Purver , Florin Ratiu , Tobias Scheideck , Fuliang Weng , Qi Zhang , Kui Xu
IPC分类号： G10L15/00 , G10L15/08
CPC分类号： G06F17/28 , G10L2015/228
摘要： Representation-neutral dialogue systems and methods (“RNDS”) are described that include multi-application, multi-device spoken-language dialogue systems based on the information-state update approach. The RNDS includes representation-neutral core components of a dialogue system that provide scripted domain-specific extensions to routines such as dialogue move modeling and reference resolution, easy substitution of specific semantic representations and associated routines, and clean interfaces to external components for language-understanding (i.e., speech-recognition and parsing) and language-generation, and to domain-specific knowledge sources. The RNDS also resolves multi-device dialogue by evaluating and selecting among candidate dialogue moves based on features at multiple levels. Multiple sources of information are combined, multiple speech recognition and parsing hypotheses tested, and multiple device and moves considered to choose the highest scoring hypothesis overall. Confirmation and clarification behavior can be governed by the overall score.
摘要翻译：描述了中立的对话系统和方法（“RNDS”），其包括基于信息状态更新方法的多应用，多设备语言对话系统。 RNDS包括对话系统的代表性中立的核心组件，其提供脚本特定的例程扩展，例如对话移动建模和参考解析，容易地替换特定的语义表示和相关联的例程，以及将外部组件的界面清理为语言理解（即语音识别和解析）和语言生成以及针对领域的知识来源。 RNDS还通过基于多层次的特征评估和选择候选对话移动来解决多设备对话。多个信息来源相结合，多个语音识别和解析假设被测试，多个设备和移动被认为是选择最高的得分假设。确认和澄清行为可以由总体评分来决定。

2. 发明申请

US20060271364A1 Dialogue management using scripts and combined confidence scores 有权
标题翻译：对话管理使用脚本和组合的置信分数
公开(公告)号：US20060271364A1
公开(公告)日：2006-11-30
申请号：US11298765
申请日：2005-12-08
申请人： Danilo Mirkovic , Lawrence Cavedon , Matthew Purver , Florin Ratiu , Tobias Scheideck , Fuliang Weng , Qi Zhang , Kui Xu
发明人： Danilo Mirkovic , Lawrence Cavedon , Matthew Purver , Florin Ratiu , Tobias Scheideck , Fuliang Weng , Qi Zhang , Kui Xu
IPC分类号： G10L15/00
CPC分类号： G06F17/28 , G10L2015/228
摘要： Representation-neutral dialogue systems and methods (“RNDS”) are described that include multi-application, multi-device spoken-language dialogue systems based on the information-state update approach. The RNDS includes representation-neutral core components of a dialogue system that provide scripted domain-specific extensions to routines such as dialogue move modeling and reference resolution, easy substitution of specific semantic representations and associated routines, and clean interfaces to external components for language-understanding (i.e., speech-recognition and parsing) and language-generation, and to domain-specific knowledge sources. The RNDS also resolves multi-device dialogue by evaluating and selecting among candidate dialogue moves based on features at multiple levels. Multiple sources of information are combined, multiple speech recognition and parsing hypotheses tested, and multiple device and moves considered to choose the highest scoring hypothesis overall. Confirmation and clarification behaviour can be governed by the overall score.
摘要翻译：描述了中立的对话系统和方法（“RNDS”），其包括基于信息状态更新方法的多应用，多设备语言对话系统。 RNDS包括对话系统的代表性中立的核心组件，其提供脚本特定的例程扩展，例如对话移动建模和参考解析，容易地替换特定的语义表示和相关联的例程，以及将外部组件的界面清理为语言理解（即语音识别和解析）和语言生成以及针对领域的知识来源。 RNDS还通过基于多层次的特征评估和选择候选对话移动来解决多设备对话。多个信息来源相结合，多个语音识别和解析假设被测试，多个设备和移动被认为是选择最高的得分假设。确认和澄清行为可以由总体评分来决定。

3. 发明授权

US07716056B2 Method and system for interactive conversational dialogue for cognitively overloaded device users 有权
标题翻译：用于认知超载设备用户的交互式会话对话的方法和系统
公开(公告)号：US07716056B2
公开(公告)日：2010-05-11
申请号：US10952069
申请日：2004-09-27
申请人： Fuliang Weng , Lawrence Cavedon , Badri Raghunathan , Danilo Mirkovic , Laura Hiatt , Hauke Schmidt , Alexander Gruenstein , Stanley Peters
发明人： Fuliang Weng , Lawrence Cavedon , Badri Raghunathan , Danilo Mirkovic , Laura Hiatt , Hauke Schmidt , Alexander Gruenstein , Stanley Peters
IPC分类号： G06F17/21 , G06F17/27 , G10L13/08 , G10L21/00
CPC分类号： G10L15/22 , G06F17/278
摘要： A system and method to interactively converse with a cognitively overloaded user of a device, includes maintaining a knowledge base of information regarding the device and a domain, organizing the information in at least one of a relational manner and an ontological manner, receiving speech from the user, converting the speech into a word sequence, recognizing a partial proper name in the word sequence, identifying meaning structures from the word sequence using a model of the domain information, adjusting a boundary of the partial proper names to enhance an accuracy of the meaning structures, interpreting the meaning structures in a context of the conversation with the cognitively overloaded user using the knowledge base, selecting a content for a response to the cognitively overloaded user, generating the response based on the selected content, the context of the conversation, and grammatical rules, and synthesizing speech wave forms for the response.
摘要翻译：与设备的认知过载的用户交互地交换的系统和方法包括维护关于设备和域的信息的知识库，以关系方式和本体论方式中的至少一个来组织信息，从用户将语音转换为单词序列，识别单词序列中的部分正确名称，使用域信息模型从单词序列中识别意义结构，调整部分专有名称的边界以增强意义上的准确性结构，使用知识库解释与认知重载用户的会话上下文中的含义结构，选择用于对认知重载的用户的响应的内容，基于所选内容生成响应，会话的上下文，以及语法规则，以及合成语音波形的响应。

4. 发明申请

US20060074670A1 Method and system for interactive conversational dialogue for cognitively overloaded device users 有权
标题翻译：用于认知超载设备用户的交互式会话对话的方法和系统
公开(公告)号：US20060074670A1
公开(公告)日：2006-04-06
申请号：US10952069
申请日：2004-09-27
申请人： Fuliang Weng , Lawrence Cavedon , Badri Raghunathan , Danilo Mirkovic , Laura Hiatt , Hauke Schmidt , Alexander Gruenstein , Stanley Peters
发明人： Fuliang Weng , Lawrence Cavedon , Badri Raghunathan , Danilo Mirkovic , Laura Hiatt , Hauke Schmidt , Alexander Gruenstein , Stanley Peters
IPC分类号： G10L15/18
CPC分类号： G10L15/22 , G06F17/278
摘要： A system and method to interactively converse with a cognitively overloaded user of a device, includes maintaining a knowledge base of information regarding the device and a domain, organizing the information in at least one of a relational manner and an ontological manner, receiving speech from the user, converting the speech into a word sequence, recognizing a partial proper name in the word sequence, identifying meaning structures from the word sequence using a model of the domain information, adjusting a boundary of the partial proper names to enhance an accuracy of the meaning structures, interpreting the meaning structures in a context of the conversation with the cognitively overloaded user using the knowledge base, selecting a content for a response to the cognitively overloaded user, generating the response based on the selected content, the context of the conversation, and grammatical rules, and synthesizing speech wave forms for the response.
摘要翻译：与设备的认知过载的用户交互地交换的系统和方法包括维护关于设备和域的信息的知识库，以关系方式和本体论方式中的至少一个来组织信息，从用户将语音转换为单词序列，识别单词序列中的部分正确名称，使用域信息模型从单词序列中识别意义结构，调整部分专有名称的边界以增强意义上的准确性结构，使用知识库解释与认知重载用户的会话上下文中的含义结构，选择用于对认知重载的用户的响应的内容，基于所选内容生成响应，会话的上下文，以及语法规则，以及合成语音波形的响应。

5. 发明授权

US07925507B2 Method and apparatus for recognizing large list of proper names in spoken dialog systems 有权
标题翻译：在口头对话系统中识别大名单的方法和装置
公开(公告)号：US07925507B2
公开(公告)日：2011-04-12
申请号：US11483840
申请日：2006-07-07
申请人： Fuliang Weng , Tobias Scheideck , Zhe Feng , Badri Raghunathan
发明人： Fuliang Weng , Tobias Scheideck , Zhe Feng , Badri Raghunathan
IPC分类号： G10L15/18
CPC分类号： G06F17/278 , G06F17/30654 , G10L15/22
摘要： Embodiments of a name recognition process for use in dialog systems are described. In one embodiment, the name recognition process assigns weighting values to names used in a dialog based on the usage of these names. This process takes advantage of the general tendency of people to speak names, either full or partial, only after they have heard or read these names. Name input is taken in several different forms, including a static background database that contains all possible names, a background database that contains commonly used names (such as common trademarks or references), a database that contains names from a user model, and a dynamic database that constantly takes the names just mentioned. The names are then appended with proper weighting values. A high weight is given to names that have been mentioned recently, a lower weight is given to common names, and a lowest weight is given to names for the ones that have never been used or mentioned.
摘要翻译：描述在对话系统中使用的名称识别过程的实施例。在一个实施例中，名称识别过程基于这些名称的使用，将加权值分配给对话中使用的名称。这个过程只有在听到或读过这些名字之后才能利用人们的全部或部分名字的一般倾向。名称输入采用几种不同的形式，包括包含所有可能名称的静态后台数据库，包含常用名称（如公共商标或引用）的后台数据库，包含用户模型名称的数据库和动态数据库不断提供刚才提到的名称。然后，这些名称将附加适当的权重值。给予最近提到的名称较高的重量，较低的重量被赋予通用名称，而对于从未被使用或提及的那些的名称来说，最小的重量是给予的。

6. 发明申请

US20080010058A1 Method and apparatus for recognizing large list of proper names in spoken dialog systems 有权
标题翻译：在口头对话系统中识别大名单的方法和装置
公开(公告)号：US20080010058A1
公开(公告)日：2008-01-10
申请号：US11483840
申请日：2006-07-07
申请人： Fuliang Weng , Tobias Scheideck , Zhe Feng , Badri Raghunathan
发明人： Fuliang Weng , Tobias Scheideck , Zhe Feng , Badri Raghunathan
IPC分类号： G06F17/27
CPC分类号： G06F17/278 , G06F17/30654 , G10L15/22
摘要： Embodiments of a name recognition process for use in dialog systems are described. In one embodiment, the name recognition process assigns weighting values to names used in a dialog based on the usage of these names. This process takes advantage of the general tendency of people to speak names, either full or partial, only after they have heard or read these names. Name input is taken in several different forms, including a static background database that contains all possible names, a background database that contains commonly used names (such as common trademarks or references), a database that contains names from a user model, and a dynamic database that constantly takes the names just mentioned. The names are then appended with proper weighting values. A high weight is given to names that have been mentioned recently, a lower weight is given to common names, and a lowest weight is given to names for the ones that have never been used or mentioned.
摘要翻译：描述在对话系统中使用的名称识别过程的实施例。在一个实施例中，名称识别过程基于这些名称的使用，将加权值分配给对话中使用的名称。这个过程只有在听到或读过这些名字之后才能利用人们的全部或部分名字的一般倾向。名称输入采用几种不同的形式，包括包含所有可能名称的静态后台数据库，包含常用名称（如公共商标或引用）的后台数据库，包含用户模型名称的数据库和动态数据库不断提供刚才提到的名称。然后，这些名称将附加适当的权重值。给予最近提到的名称较高的重量，较低的重量被赋予通用名称，而对于从未被使用或提及的那些的名称来说，最小的重量是给予的。

7. 发明授权

US07424363B2 Method and system for adaptive navigation using a driver's route knowledge 有权
标题翻译：使用驾驶员路线知识的自适应导航方法和系统
公开(公告)号：US07424363B2
公开(公告)日：2008-09-09
申请号：US10923590
申请日：2004-08-20
申请人： Hua Cheng , Lawrence Cavedon , Robert Dale , Fuliang Weng , Yao Meng , Stanley Peters
发明人： Hua Cheng , Lawrence Cavedon , Robert Dale , Fuliang Weng , Yao Meng , Stanley Peters
IPC分类号： G01C21/30
CPC分类号： G08G1/096872 , G01C21/3641 , G08G1/096822 , G08G1/096838
摘要： A method and system are described to adapt instructions for performing a task by a user, which includes receiving generalized instructions for the task, selecting a content of the generalized instructions based on user-specific knowledge regarding the task, constructing utterances using the selected content, and conveying the utterances to the user.
摘要翻译：描述了一种方法和系统，以适应用户执行任务的指令，其包括接收用于该任务的通用指令，基于与该任务相关的用户特定知识来选择一般化指令的内容，使用所选择的内容构建话语，并将话语传达给用户。

8. 发明申请

US20060041378A1 Method and system for adaptive navigation using a driver's route knowledge 有权
标题翻译：使用驾驶员路线知识的自适应导航方法和系统
公开(公告)号：US20060041378A1
公开(公告)日：2006-02-23
申请号：US10923590
申请日：2004-08-20
申请人： Hua Cheng , Lawrence Cavedon , Robert Dale , Fuliang Weng , Yao Meng , Stanley Peters
发明人： Hua Cheng , Lawrence Cavedon , Robert Dale , Fuliang Weng , Yao Meng , Stanley Peters
IPC分类号： G01C21/34
CPC分类号： G08G1/096872 , G01C21/3641 , G08G1/096822 , G08G1/096838
摘要： A method and system are described to adapt instructions for performing a task by a user, which includes receiving generalized instructions for the task, selecting a content of the generalized instructions based on user-specific knowledge regarding the task, constructing utterances using the selected content, and conveying the utterances to the user.
摘要翻译：描述了一种方法和系统，以适应用户执行任务的指令，其包括接收用于该任务的通用指令，基于与该任务相关的用户特定知识来选择一般化指令的内容，使用所选择的内容构建话语，并将话语传达给用户。

9. 发明申请

US20160313868A1 System and Method for Dialog-Enabled Context-Dependent and User-Centric Content Presentation 审中-公开
标题翻译：具有对话框的上下文相关性和以用户为中心的内容呈现的系统和方法
公开(公告)号：US20160313868A1
公开(公告)日：2016-10-27
申请号：US15104695
申请日：2014-12-11
申请人： Fuliang Weng , Kui Xu , Fel Liu , Lin Zhao , Zhe Feng , Zhongnan Shen , ROBERT BOSCH GMBH
发明人： Fuliang Weng , Kui Xu , Fel Liu , Lin Zhao , Zhe Feng , Zhongnan Shen
IPC分类号： G06F3/0481 , B60K35/00 , H04L29/06 , H04L29/08 , G10L15/22 , G06F3/01
CPC分类号： G06F3/0481 , B60K35/00 , B60K2350/1028 , B60K2350/1044 , B60K2350/1052 , B60K2350/2052 , B60K2350/901 , B60K2350/962 , G06F3/017 , G06F3/04883 , G06F9/451 , G06F2203/0381 , G06Q30/02 , G10L15/22 , H04L65/4069 , H04L67/12
摘要： An in-vehicle infotainment system, smart home information access and device control unit, or mobile system presents summarized information to a user based on a user preference model that is associated with the user. The system modifies the presentation of information to the user based on environmental context data about the vehicle and user context data about the activity of the user. During presentation of the information, the system modifies the content and presentation of the summarized information in response to multi-modal input requests from the user.
摘要翻译：车载信息娱乐系统，智能家居信息访问和设备控制单元或移动系统基于与用户相关联的用户偏好模型向用户呈现总结信息。系统基于关于车辆的环境上下文数据和关于用户的活动的用户上下文数据来向用户修改信息呈现。在呈现信息期间，系统响应于来自用户的多模式输入请求来修改总结信息的内容和呈现。

10. 发明授权

US07630981B2 Method and system for learning ontological relations from documents 有权
标题翻译：从文件学习本体论关系的方法和系统
公开(公告)号：US07630981B2
公开(公告)日：2009-12-08
申请号：US11645386
申请日：2006-12-26
申请人： Kui Xu , Fuliang Weng
发明人： Kui Xu , Fuliang Weng
IPC分类号： G06F17/30
CPC分类号： G10L15/1815 , G10L15/183 , Y10S707/99933 , Y10S707/99936 , Y10S707/99942
摘要： Embodiments of an ontological determination method for use in natural language processing applications are described. In one embodiment, shallow lexico-syntactic patterns are applied to identify relations by extracting term features to distinguish relation terms from non-relation terms, identifying coordinate relations for every adjacent terms; identifying short-distance ontological (e.g., hypernym or part-whole relations) for other adjacent terms based on term features and lexico-syntactic patterns; and then inferring long-distance hypernym and part-whole relations based on the identified coordinate relations and the short-distance relations.
摘要翻译：描述了在自然语言处理应用中使用的本体确定方法的实施例。在一个实施例中，应用浅层词典模式以通过提取术语特征来识别关系，以将关系项与非关系术语区分开来，识别每个相邻术语的坐标关系; 基于术语特征和词典语法模式识别其他相邻术语的短距离本体论（例如，超音阶或部分整体关系）; 然后根据确定的协调关系和短距离关系推断出长距离超高和部分整体关系。

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