Patents Assigned to VirtuOz SA
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Patent number: 10360305Abstract: 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.Type: GrantFiled: February 16, 2016Date of Patent: July 23, 2019Assignee: VirtuOz SAInventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
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Patent number: 9524291Abstract: 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.Type: GrantFiled: October 6, 2010Date of Patent: December 20, 2016Assignee: Virtuoz SAInventors: Dan Teodosiu, Elizabeth Ireland Powers, Pierre Serge Vincent LeRoy, Sebastien Jean-Marie Christian Saunier
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Patent number: 9378202Abstract: 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.Type: GrantFiled: March 26, 2010Date of Patent: June 28, 2016Assignee: VirtuOz SAInventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
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Patent number: 9275042Abstract: 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.Type: GrantFiled: January 24, 2014Date of Patent: March 1, 2016Assignee: VirtuOz SAInventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
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Patent number: 9196245Abstract: 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.Type: GrantFiled: January 21, 2014Date of Patent: November 24, 2015Assignee: VirtuOz SAInventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
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Publication number: 20140207441Abstract: 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.Type: ApplicationFiled: January 24, 2014Publication date: July 24, 2014Applicant: VirtuOz SAInventors: Jean-Marie Henri Daniel Larcheveque, ELIZABETH IRELAND POWERS, FREYA KATE RECKSIEK, DAN TEODOSIU
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Patent number: 8694304Abstract: 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.Type: GrantFiled: March 26, 2010Date of Patent: April 8, 2014Assignee: Virtuoz SAInventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
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Patent number: 8676565Abstract: 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.Type: GrantFiled: March 26, 2010Date of Patent: March 18, 2014Assignee: VIRTUOZ SAInventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
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Publication number: 20120089394Abstract: 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.Type: ApplicationFiled: October 6, 2010Publication date: April 12, 2012Applicant: VirtuOz SAInventors: Dan Teodosiu, Elizabeth Ireland Powers, Pierre Serge Vincent LeRoy, Sebastien Jean-Marie Christian Saunier