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公开(公告)号：US09196245B2
公开(公告)日：2015-11-24
申请号：US14160074
申请日：2014-01-21
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
CPC分类号： G10L15/1815 , G06F17/2785 , G06F17/30654 , G06F17/3071
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US08694304B2
公开(公告)日：2014-04-08
申请号：US12748150
申请日：2010-03-26
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
CPC分类号： G06F17/2785 , G06F17/30654 , G06F17/3071
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US20110238410A1
公开(公告)日：2011-09-29
申请号：US12748150
申请日：2010-03-26
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
IPC分类号： G06F17/27
CPC分类号： G06F17/2785 , G06F17/30654 , G06F17/3071
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US09524291B2
公开(公告)日：2016-12-20
申请号：US12899016
申请日：2010-10-06
申请人： Dan Teodosiu , Elizabeth Ireland Powers , Pierre Serge Vincent LeRoy , Sebastien Jean-Marie Christian Saunier
发明人： Dan Teodosiu , Elizabeth Ireland Powers , Pierre Serge Vincent LeRoy , Sebastien Jean-Marie Christian Saunier
CPC分类号： G06F17/2785 , G06F17/20 , G06F17/21 , G06F17/27 , G10L21/06
摘要： Techniques involving visual display of information related to matching user utterances against graph patterns are described. In one or more implementations, an utterance of a user is obtained that has been indicated as corresponding to a graph pattern through linguistic analysis. The utterance is displayed in a user interface as a representation of the graph pattern.
摘要翻译： 描述了涉及到将图形模式与用户话语相匹配的信息的视觉显示的技术。 在一个或多个实现中，获得了通过语言分析被指示为对应于图形模式的用户的话语。 该话语作为图形模式的表示在用户界面中显示。
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公开(公告)号：US09378202B2
公开(公告)日：2016-06-28
申请号：US12748091
申请日：2010-03-26
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
CPC分类号： G06F17/279 , G06F17/271 , G06F17/277 , G06F17/2785 , G10L15/1815
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US08676565B2
公开(公告)日：2014-03-18
申请号：US12748133
申请日：2010-03-26
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
CPC分类号： G10L15/1815 , G06F17/2785 , G06F17/30654 , G06F17/3071
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US20120089394A1
公开(公告)日：2012-04-12
申请号：US12899016
申请日：2010-10-06
申请人： Dan Teodosiu , Elizabeth Ireland Powers , Pierre Serge Vincent LeRoy , Sebastien Jean-Marie Christian Saunier
发明人： Dan Teodosiu , Elizabeth Ireland Powers , Pierre Serge Vincent LeRoy , Sebastien Jean-Marie Christian Saunier
IPC分类号： G10L15/00
CPC分类号： G06F17/2785 , G06F17/20 , G06F17/21 , G06F17/27 , G10L21/06
摘要： Techniques involving visual display of information related to matching user utterances against graph patterns are described. In one or more implementations, an utterance of a user is obtained that has been indicated as corresponding to a graph pattern through linguistic analysis. The utterance is displayed in a user interface as a representation of the graph pattern.
摘要翻译： 描述了涉及到将图形模式与用户话语相匹配的信息的视觉显示的技术。 在一个或多个实现中，获得了通过语言分析被指示为对应于图形模式的用户的话语。 该话语作为图形模式的表示在用户界面中显示。
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公开(公告)号：US20110238408A1
公开(公告)日：2011-09-29
申请号：US12748091
申请日：2010-03-26
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
IPC分类号： G06F17/27
CPC分类号： G06F17/279 , G06F17/271 , G06F17/277 , G06F17/2785 , G10L15/1815
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US20140200891A1
公开(公告)日：2014-07-17
申请号：US14160074
申请日：2014-01-21
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
IPC分类号： G10L15/18
CPC分类号： G10L15/1815 , G06F17/2785 , G06F17/30654 , G06F17/3071
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口语，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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公开(公告)号：US20110238409A1
公开(公告)日：2011-09-29
申请号：US12748133
申请日：2010-03-26
申请人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
发明人： Jean-Marie Henri Daniel Larcheveque , Elizabeth Ireland Powers , Freya Kate Recksiek , Dan Teodosiu
CPC分类号： G10L15/1815 , G06F17/2785 , G06F17/30654 , G06F17/3071
摘要： Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.
摘要翻译： 描述语义聚类技术。 在各种实现中，会话代理被配置为执行用户话语语料库的语义聚类。 可以使用语义聚类来提供各种功能，例如将语音语料库分组到其中每个群集属于相似主题的语义群集中。 然后可以利用这些集群来识别主题并评估其相对重要性，例如优先处理由会话代理处理的主题应被改进。 可以使用这些技术来处理各种话语，例如口头单词，通过实时聊天输入的文本描述，即时消息，网站界面，电子邮件，SMS，社交网络，博客或微博界面等。
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