Patents by Inventor Simantini Deb

Simantini Deb 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).

  • Intelligent data extraction system and method
    Patent number: 11972627
    Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.
    Type: Grant
    Filed: December 16, 2021
    Date of Patent: April 30, 2024
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Loganathan Muthu, Rahul Kotnala, Srinivasan Krishnan Rajagopalan, Peter Ashly Gopalan, Manikandan Chandran, Anand Yesuraj Prakash, Simantini Deb, Vijay Dhandapani, Harbhajan Singh, RBSanthosh Kumar, Lokesh Venkatappa, Ramakrishnan Raman
  • INTELLIGENT DATA EXTRACTION SYSTEM AND METHOD
    Publication number: 20230196813
    Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.
    Type: Application
    Filed: December 16, 2021
    Publication date: June 22, 2023
    Inventors: Loganathan Muthu, Rahul Kotnala, Srinivasan Krishnan Rajagopalan, Peter Ashly Gopalan, Manikandan Chandran, Anand Yesuraj Prakash, Simantini Deb, Vijay Dhandapani, Harbhajan Singh, RBSanthosh Kumar, Lokesh Venkatappa, Ramakrishnan Raman