Patents by Inventor Ramon Astudillo

Ramon Astudillo 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).

  • Automatically generating diverse text
    Patent number: 11741371
    Abstract: Embodiments relate to an artificial intelligence (AI) computer platform to incorporate synthetic data and ground truth data, and to promote diversity and accuracy in generating the synthetic data. Synthetic questions are generated by a question generator in response to semantically related ground truth passage and answer data. Each generated question is presented to an answer generator together with the semantically related ground truth passage. Each synthetic question is evaluated with respect to its diversity from previous synthetic questions generated for the same ground truth passage and answer data. Each synthetic question is also evaluated with respect to the accuracy of the answer generated by the answer generator. A reward function that captures both accuracy and diversity of each synthetic question is leveraged to selectively modify the question generator, with the selective modification(s) directed at increasing textual diversity and maintaining accuracy of the generated synthetic questions.
    Type: Grant
    Filed: March 20, 2020
    Date of Patent: August 29, 2023
    Assignee: International Business Machines Corporation
    Inventors: MD Arafat Sultan, Vittorio Castelli, Shubham Chandel, Ramon Astudillo
  • Automatically Generating Diverse Text
    Publication number: 20210295172
    Abstract: Embodiments relate to an artificial intelligence (AI) computer platform to incorporate synthetic data and ground truth data, and to promote diversity and accuracy in generating the synthetic data. Synthetic questions are generated by a question generator in response to semantically related ground truth passage and answer data. Each generated question is presented to an answer generator together with the semantically related ground truth passage. Each synthetic question is evaluated with respect to its diversity from previous synthetic questions generated for the same ground truth passage and answer data. Each synthetic question is also evaluated with respect to the accuracy of the answer generated by the answer generator. A reward function that captures both accuracy and diversity of each synthetic question is leveraged to selectively modify the question generator, with the selective modification(s) directed at increasing textual diversity and maintaining accuracy of the generated synthetic questions.
    Type: Application
    Filed: March 20, 2020
    Publication date: September 23, 2021
    Applicant: International Business Machines Corporation
    Inventors: MD Arafat Sultan, Vittorio Castelli, Shubham Chandel, Ramon Astudillo