Patents by Inventor Gajendra Kasturchand Barachha

Gajendra Kasturchand Barachha 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).

  • Determining states of content characteristics of electronic communications
    Patent number: 10885279
    Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums for determining states of content characteristics of electronic messages. In some embodiments, the probability of the states of the content characteristics of electronic messages are determined. Some embodiments determine a scores for states of content characteristics. Some embodiments determine a score for electronic messages for content characteristic diversity and inclusion based on a probability of a gender-bias state, a probability of a gender-neutral state, and a probability of not applicable to gender-bias state or gender-neutral state. In some embodiments the probabilities are determined based on a natural language model that is trained with data structures that relate training phrases to states of content characteristics.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: January 5, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventor: Gajendra Kasturchand Barachha
  • DETERMINING STATES OF CONTENT CHARACTERISTICS OF ELECTRONIC COMMUNICATIONS
    Publication number: 20200151251
    Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums for determining states of content characteristics of electronic messages. In some embodiments, the probability of the states of the content characteristics of electronic messages are determined. Some embodiments determine a scores for states of content characteristics. Some embodiments determine a score for electronic messages for content characteristic diversity and inclusion based on a probability of a gender-bias state, a probability of a gender-neutral state, and a probability of not applicable to gender-bias state or gender-neutral state. In some embodiments the probabilities are determined based on a natural language model that is trained with data structures that relate training phrases to states of content characteristics.
    Type: Application
    Filed: November 8, 2018
    Publication date: May 14, 2020
    Inventor: Gajendra Kasturchand Barachha