Patents by Inventor Andrew Malcolm

Andrew Malcolm 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).

  • EXTRACTING STRUCTURED DATA FROM HANDWRITTEN AND AUDIO NOTES
    Publication number: 20230099963
    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.
    Type: Application
    Filed: December 7, 2022
    Publication date: March 30, 2023
    Inventors: Chris O'Neill, Andrew Malcolm, Alexander Pashintsev, Eugene Livshitz, Boris Gorbatov, Natalia Galaktionova, IIya Buryak
  • Extracting structured data from handwritten and audio notes
    Patent number: 11550995
    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: January 10, 2023
    Assignee: EVERNOTE CORPORATION
    Inventors: Chris O'Neill, Andrew Malcolm, Alexander Pashintsev, Eugene Livshitz, Boris Gorbatov, Natalia Galaktionova, Ilya Buryak
  • Extracting Structured Data from Handwritten and Audio Notes
    Publication number: 20210012062
    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.
    Type: Application
    Filed: June 22, 2020
    Publication date: January 14, 2021
    Inventors: Chris O'Neill, Andrew Malcolm, Alexander Pashintsev, Eugene Livshitz, Boris Gorbatov, Natalia Galaktionova, IIya Buryak
  • Extracting structured data from handwritten and audio notes
    Patent number: 10691885
    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: June 23, 2020
    Assignee: EVERNOTE CORPORATION
    Inventors: Chris O'Neill, Andrew Malcolm, Alexander Pashintsev, Eugene Livshitz, Boris Gorbatov, Natalia Galaktionova, Ilya Buryak
  • Extracting Structured Data from Handwritten and Audio Notes
    Publication number: 20170286529
    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.
    Type: Application
    Filed: March 30, 2017
    Publication date: October 5, 2017
    Inventors: Chris O'Neill, Andrew Malcolm, Alexander Pashintsev, Eugene Livshitz, Boris Gorbatov, Natalia Galaktionova, Ilya Buryak