Patents by Inventor Deborah Cohen

Deborah Cohen 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: 11869506
    Abstract: Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: January 9, 2024
    Assignee: GOOGLE LLC
    Inventors: Michael Fink, Vladimir Vuskovic, Shimon Or Salant, Deborah Cohen, Asaf Revach, David Kogan, Andrew Callahan, Richard Borovoy, Andrew Richardson, Eran Ofek, Idan Szpektor, Jonathan Berant, Yossi Matias
  • Patent number: 11804211
    Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: October 31, 2023
    Assignee: GOOGLE LLC
    Inventors: Asaf Aharoni, Yaniv Leviathan, Eyal Segalis, Gal Elidan, Sasha Goldshtein, Tomer Amiaz, Deborah Cohen
  • Publication number: 20220180857
    Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).
    Type: Application
    Filed: December 4, 2020
    Publication date: June 9, 2022
    Inventors: Asaf Aharoni, Yaniv LEVIATHAN, Eyal SEGALIS, Gal ELIDAN, Sasha Goldshtein, Tomer Amiaz, Deborah Cohen
  • Publication number: 20220180858
    Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).
    Type: Application
    Filed: December 2, 2021
    Publication date: June 9, 2022
    Inventors: Asaf Aharoni, Yaniv LEVIATHAN, Eyal SEGALIS, Gal ELIDAN, Sasha Goldshtein, Tomer Amiaz, Deborah Cohen
  • Publication number: 20220157308
    Abstract: Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.
    Type: Application
    Filed: January 28, 2022
    Publication date: May 19, 2022
    Inventors: Michael Fink, Vladimir Vuskovic, Shimon Or Salant, Deborah Cohen, Asaf Revach, David Kogan, Andrew Callahan, Richard Borovoy, Andrew Richardson, Eran Ofek, Idan Szpektor, Jonathan Berant, Yossi Matias
  • Patent number: 11238864
    Abstract: Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: February 1, 2022
    Assignee: Google LLC
    Inventors: Michael Fink, Vladimir Vuskovic, Shimon Or Salant, Deborah Cohen, Asaf Revach, David Kogan, Andrew Callahan, Richard Borovoy, Andrew Richardson, Eran Ofek, Idan Szpektor, Jonathan Berant, Yossi Matias
  • Publication number: 20210065702
    Abstract: Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.
    Type: Application
    Filed: May 30, 2019
    Publication date: March 4, 2021
    Inventors: Michael Fink, Vladimir Vuskovic, Shimon Or Salant, Deborah Cohen, Asaf Revach, David Kogan, Andrew Callahan, Richard Borovoy, Andrew Richardson, Eran Ofek, Idan Szpektor, Jonathan Berant, Yossi Matias