Patents by Inventor Isaiah Santala

Isaiah Santala 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).

  • Domain knowledge based feature extraction for enhanced text representation
    Patent number: 11687709
    Abstract: Provided are a method, system, and computer program product for representing text, in which a text is received and analyzed by utilizing a pre-trained embedding model and a feature vector model, wherein selected words in the text have corresponding weights. Operations whose parameters include weights of a feature vector and an embedding are performed to generate a weighted embedding data structure. A summation is performed of all corresponding columns of a plurality of rows of the weighted embedding data structure to generate a data structure that represents the text. The data structure that represents the text is utilized to generate at least one of a classification metadata for the text and a summarization of the text.
    Type: Grant
    Filed: October 22, 2020
    Date of Patent: June 27, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Dylan Zucker, Adham Suliman, Foad Khoshouei, ChunHui Y. Higgins, Raghu Kiran Ganti, Shirley M. Han, Isaiah Santala
  • DOMAIN KNOWLEDGE BASED FEATURE EXTRACTION FOR ENHANCED TEXT REPRESENTATION
    Publication number: 20220129625
    Abstract: Provided are a method, system, and computer program product for representing text, in which a text is received and analyzed by utilizing a pre-trained embedding model and a feature vector model, wherein selected words in the text have corresponding weights. Operations whose parameters include weights of a feature vector and an embedding are performed to generate a weighted embedding data structure. A summation is performed of all corresponding columns of a plurality of rows of the weighted embedding data structure to generate a data structure that represents the text. The data structure that represents the text is utilized to generate at least one of a classification metadata for the text and a summarization of the text.
    Type: Application
    Filed: October 22, 2020
    Publication date: April 28, 2022
    Inventors: Dylan Zucker, Adham Suliman, Foad Khoshouei, ChunHui Y. Higgins, Raghu Kiran Ganti, Shirley M. Han, Isaiah Santala