Patents by Inventor Sangammohan Harimohan Singh

Sangammohan Harimohan Singh 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).

  • Document distinguishing based on page sequence learning
    Patent number: 12002276
    Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by estimating whether a particular page belongs to a same document as another page or whether the page belongs to a different document. Such document distinguishing can be based on deriving relationship information between a first feature vector representing the page and a second feature vector representing the other page. This also improves the user experience and model building experience, among other things.
    Type: Grant
    Filed: March 22, 2021
    Date of Patent: June 4, 2024
    Assignee: BILL Operations, LLC
    Inventors: Xin Geng Kelly, Sangammohan Harimohan Singh, Derek Chan, Eitan Anzenberg
  • MODEL FOR TEXTUAL AND NUMERICAL INFORMATION RETRIEVAL IN DOCUMENTS
    Publication number: 20230022845
    Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by using one or more machine learning models to predict a type of data that one or more numerical characters and/or one or more natural language word characters of a document correspond to. For instance, a Question Answering systems can be used to predict that a particular number value corresponds to a date, a billing amount, a page number, or the like.
    Type: Application
    Filed: July 13, 2021
    Publication date: January 26, 2023
    Inventors: Lixin Meng, Changlin Zhang, Sangammohan Harimohan Singh
  • DOCUMENT DISTINGUISHING BASED ON PAGE SEQUENCE LEARNING
    Publication number: 20220300735
    Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by estimating whether a particular page belongs to a same document as another page or whether the page belongs to a different document. Such document distinguishing can be based on deriving relationship information between a first feature vector representing the page and a second feature vector representing the other page. This also improves the user experience and model building experience, among other things.
    Type: Application
    Filed: March 22, 2021
    Publication date: September 22, 2022
    Inventors: Xin Geng Kelly, Sangammohan Harimohan Singh, Derek Chan, Eitan Anzenberg