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1.发明授权Systems and methods for building asset based natural language call routing application with limited resources 有权用资源有限的资源建立自然语言呼叫路由应用的系统和方法公开(公告)号：US08370127B2
公开(公告)日：2013-02-05
申请号：US11454694
申请日：2006-06-16
CPC分类号： G10L15/1822 , G10L15/063 , G10L15/183
摘要： A method of processing limited natural language data to automatically develop an optimal feature set, bypassing the standard Wizard of OZ (WOZ) approach. Natural language understanding models process existing data from other domains, such as the Internet, for domain-specific adaptation through the use of an optimal feature set. When the optimal feature set is passed on to any engine, the optimal feature set produces robust models that can be used for natural language call routing.
摘要翻译： 一种处理有限自然语言数据以自动开发最佳特征集的方法，绕过标准的OZ向导（WOZ）方法。 自然语言理解模型通过使用最佳特征集处理来自其他领域（例如因特网）的现有数据，用于特定领域的适应。 当最优特征集传递给任何引擎时，最优特征集可以产生可用于自然语言呼叫路由的鲁棒模型。
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2.发明申请METHOD AND APPARATUS FOR BUILDING ASSET BASED NATURAL LANGUAGE CALL ROUTING APPLICATION WITH LIMITED RESOURCES 审中-公开用有限资源构建资产自然语言呼叫路由应用的方法与装置公开(公告)号：US20080208583A1
公开(公告)日：2008-08-28
申请号：US12115622
申请日：2008-05-06
IPC分类号： G10L15/18
CPC分类号： G10L15/1822 , G10L15/063 , G10L15/183
摘要： A method of processing limited natural language data to automatically develop an optimal feature set, bypassing the standard Wizard of OZ (WOZ) approach is provided. The method provides for building natural language understanding models or for processing existing data from other domains, such as the Internet, for domain-specific adaptation through the use of an optimal feature set. Consequently, when the optimal feature set is passed on to any engine, the optimal feature set produces robust models that can be used for natural language call routing.
摘要翻译： 提供了一种处理有限自然语言数据以自动开发最佳特征集的方法，绕过标准的OZ向导（WOZ）方法。 该方法提供了构建自然语言理解模型，或者通过使用最优特征集来处理来自其他领域（例如因特网）的现有数据，用于域特定适应。 因此，当最优特征集合被传递给任何引擎时，最优特征集合产生可用于自然语言呼叫路由的鲁棒模型。
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3.发明申请Method and apparatus for building asset based natural language call routing application with limited resources 有权用资源有限的资源建立自然语言呼叫路由应用的方法和装置公开(公告)号：US20080010280A1
公开(公告)日：2008-01-10
申请号：US11454694
申请日：2006-06-16
IPC分类号： G06F17/30
CPC分类号： G10L15/1822 , G10L15/063 , G10L15/183
摘要： A method of processing limited natural language data to automatically develop an optimal feature set, bypassing the standard Wizard of OZ (WOZ) approach is provided. The method provides for building natural language understanding models or for processing existing data from other domains, such as the Internet, for domain-specific adaptation through the use of an optimal feature set. Consequently, when the optimal feature set is passed on to any engine, the optimal feature set produces robust models that can be used for natural language call routing.
摘要翻译： 提供了一种处理有限自然语言数据以自动开发最佳特征集的方法，绕过标准的OZ向导（WOZ）方法。 该方法提供了构建自然语言理解模型，或者通过使用最优特征集来处理来自其他领域（例如因特网）的现有数据，用于域特定适应。 因此，当最优特征集合被传递给任何引擎时，最优特征集合产生可用于自然语言呼叫路由的鲁棒模型。
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4.发明授权公开(公告)号：US08719035B2
公开(公告)日：2014-05-06
申请号：US12055952
申请日：2008-03-26
IPC分类号： G06F17/27 , G10L15/00 , G10L25/00 , G09B3/00 , G09B7/00 , G09B19/00 , G09B19/04 , G09B17/04 , G09B1/00
CPC分类号： G10L15/08 , G06F17/2785 , G10L17/26 , G10L25/63
摘要： Techniques are disclosed for recognizing user personality in accordance with a speech recognition system. For example, a technique for recognizing a personality trait associated with a user interacting with a speech recognition system includes the following steps/operations. One or more decoded spoken utterances of the user are obtained. The one or more decoded spoken utterances are generated by the speech recognition system. The one or more decoded spoken utterances are analyzed to determine one or more linguistic attributes (morphological and syntactic filters) that are associated with the one or more decoded spoken utterances. The personality trait associated with the user is then determined based on the analyzing step/operation.
摘要翻译： 公开了根据语音识别系统识别用户个性的技术。 例如，用于识别与与语音识别系统交互的用户相关联的个性特征的技术包括以下步骤/操作。 获得用户的一个或多个解码的说话话语。 一个或多个解码的语音话音由语音识别系统产生。 分析一个或多个解码的说话话语以确定与一个或多个解码的说话话语相关联的一个或多个语言属性（形态和句法过滤器）。 然后基于分析步骤/操作来确定与用户相关联的个性特征。
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5.发明授权Method and apparatus for recognizing a user personality trait based on a number of compound words used by the user 有权基于用户使用的多个复合词来识别用户个性特征的方法和装置公开(公告)号：US08150692B2
公开(公告)日：2012-04-03
申请号：US11436295
申请日：2006-05-18
IPC分类号： G10L15/08
CPC分类号： G10L15/08 , G06F17/2785 , G10L17/26 , G10L25/63
摘要： Techniques for recognizing a personality trait associated with a user. Input from the user is analyzed to determine a number of words, including a number of compound words. The personality trait associated with the user is determined based, at least in part, on the number of compound words exceeding a threshold.
摘要翻译： 用于识别与用户相关联的个性特征的技术。 分析来自用户的输入以确定多个单词，包括多个复合词。 至少部分地基于超过阈值的复合词的数量确定与用户相关联的个性特征。
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6.发明申请SYSTEMS AND METHODS FOR RESULTS LIST NAVIGATION USING SEMANTIC COMPONENTIAL-GRADIENT PROCESSING TECHNIQUES 审中-公开使用语义相关梯度处理技术的结果列表导航的系统和方法公开(公告)号：US20080243777A1
公开(公告)日：2008-10-02
申请号：US11693205
申请日：2007-03-29
IPC分类号： G06F7/00
CPC分类号： G06F16/367 , G06F16/3344 , G06F16/3346 , G06F16/36
摘要： Systems ana methods are provided for organizing and presenting large search results lists using lexical semantic componential-gradient processing techniques to dynamically organize search results into a gradable list of context rich semantic components, which is presented to a user under a gradient as a constrained set of choices to thereby facilitate user navigation of the search results.
摘要翻译： 提供了系统ana方法，用于使用词汇语义组合梯度处理技术来组织和呈现大的搜索结果列表，以将搜索结果动态地组织到上下文丰富的语义分量的可分级列表中，所述上下文丰富的语义分量被呈现给梯度下的用户作为约束集 选择，从而方便用户浏览搜索结果。
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7.发明授权System and method for disambiguating multiple intents in a natural language dialog system 有权在自然语言对话系统中消除歧义的系统和方法公开(公告)号：US09009046B1
公开(公告)日：2015-04-14
申请号：US11235742
申请日：2005-09-27
CPC分类号： G10L15/18 , G06F17/2785 , G10L15/08 , G10L15/1815 , G10L15/22 , G10L15/26
摘要： The present invention addresses the deficiencies in the prior art by providing an improved dialog for disambiguating a user utterance containing more than one intent. The invention comprises methods, computer-readable media, and systems for engaging in a dialog. The method embodiment of the invention relates to a method of disambiguating a user utterance containing at least two user intents. The method comprises establishing a confidence threshold for spoken language understanding to encourage that multiple intents are returned, determining whether a received utterance comprises a first intent and a second intent and, if the received utterance contains the first intent and the second intent, disambiguating the first intent and the second intent by presenting a disambiguation sub-dialog wherein the user is offered a choice of which intent to process first, wherein the user is first presented with the intent of the first or second intents having the lowest confidence score.
摘要翻译： 本发明通过提供一种用于消除含有多于一个意图的用户话语的改进对话来解决现有技术中的缺陷。 本发明包括方法，计算机可读介质和用于参与对话的系统。 本发明的方法实施例涉及一种消除含有至少两个用户意图的用户话语的方法。 所述方法包括建立口语理解的置信阈值以鼓励多个意图被返回，确定所接收的话语是否包括第一意图和第二意图，并且如果接收到的话语包含第一意图和第二意图，则消除第一 意图和第二意图，其中呈现消歧子对话框，其中向用户提供首先处理哪个意图的选择，其中首先呈现用户具有最低置信度得分的第一或第二意图的意图。
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8.发明申请公开(公告)号：US20070271098A1
公开(公告)日：2007-11-22
申请号：US11436295
申请日：2006-05-18
IPC分类号： G10L15/18
CPC分类号： G10L15/08 , G06F17/2785 , G10L17/26 , G10L25/63
摘要： Techniques are disclosed for recognizing user personality in accordance with a speech recognition system. For example, a technique for recognizing a personality trait associated with a user interacting with a speech recognition system includes the following steps/operations. One or more decoded spoken utterances of the user are obtained. The one or more decoded spoken utterances are generated by the speech recognition system. The one or more decoded spoken utterances are analyzed to determine one or more linguistic attributes (morphological and syntactic filters) that are associated with the one or more decoded spoken utterances. The personality trait associated with the user is then determined based on the analyzing step/operation.
摘要翻译： 公开了根据语音识别系统识别用户个性的技术。 例如，用于识别与与语音识别系统交互的用户相关联的个性特征的技术包括以下步骤/操作。 获得用户的一个或多个解码的说话话语。 一个或多个解码的语音话音由语音识别系统产生。 分析一个或多个解码的说话话语以确定与一个或多个解码的说话话语相关联的一个或多个语言属性（形态和句法过滤器）。 然后基于分析步骤/操作来确定与用户相关联的个性特征。
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