Patents by Inventor Jean-Marie Henri Daniel Larcheveque

Jean-Marie Henri Daniel Larcheveque has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10360305
    Abstract: 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: Grant
    Filed: February 16, 2016
    Date of Patent: July 23, 2019
    Assignee: VirtuOz SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Publication number: 20160239480
    Abstract: 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: Application
    Filed: February 16, 2016
    Publication date: August 18, 2016
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Patent number: 9378202
    Abstract: 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: Grant
    Filed: March 26, 2010
    Date of Patent: June 28, 2016
    Assignee: VirtuOz SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Patent number: 9275042
    Abstract: 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: Grant
    Filed: January 24, 2014
    Date of Patent: March 1, 2016
    Assignee: VirtuOz SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Patent number: 9196245
    Abstract: 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: Grant
    Filed: January 21, 2014
    Date of Patent: November 24, 2015
    Assignee: VirtuOz SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Publication number: 20140207441
    Abstract: 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: Application
    Filed: January 24, 2014
    Publication date: July 24, 2014
    Applicant: VirtuOz SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, ELIZABETH IRELAND POWERS, FREYA KATE RECKSIEK, DAN TEODOSIU
  • Publication number: 20140200891
    Abstract: 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: Application
    Filed: January 21, 2014
    Publication date: July 17, 2014
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Patent number: 8694304
    Abstract: 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: Grant
    Filed: March 26, 2010
    Date of Patent: April 8, 2014
    Assignee: Virtuoz SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Patent number: 8676565
    Abstract: 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: Grant
    Filed: March 26, 2010
    Date of Patent: March 18, 2014
    Assignee: VIRTUOZ SA
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Publication number: 20110238410
    Abstract: 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: Application
    Filed: March 26, 2010
    Publication date: September 29, 2011
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Publication number: 20110238408
    Abstract: 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: Application
    Filed: March 26, 2010
    Publication date: September 29, 2011
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu
  • Publication number: 20110238409
    Abstract: 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: Application
    Filed: March 26, 2010
    Publication date: September 29, 2011
    Inventors: Jean-Marie Henri Daniel Larcheveque, Elizabeth Ireland Powers, Freya Kate Recksiek, Dan Teodosiu