Patents by Inventor Shreyash Kumar Sharma

Shreyash Kumar Sharma 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).

  • Systems and methods for expert driven document identification
    Patent number: 11392769
    Abstract: Systems and methods for identifying data strings in electronic documents using pattern recognition. The method includes receiving a first data string corresponding to an electronic reference document from a first database and a second data string corresponding to an electronic legal document from a second database. The method also includes processing the first data string into a first processed data string and processing the second data string into a second processed data string. The method also includes calculating a cosine similarity between the first processed data string and the second processed data string. The method also includes receiving a feedback score from a user which corresponds to an accuracy of the calculated cosine similarity. The method also includes calculating an adjusted cosine similarity between the first processed data string and the second processed data string based on the calculated cosine similarity and the feedback score.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: July 19, 2022
    Assignee: FMR LLC
    Inventors: Gunjan Narulkar, Shreyash Kumar Sharma, Greeshma Girish
  • Systems and Methods for Expert Driven Document Identification
    Publication number: 20220019738
    Abstract: Systems and methods for identifying data strings in electronic documents using pattern recognition. The method includes receiving a first data string corresponding to an electronic reference document from a first database and a second data string corresponding to an electronic legal document from a second database. The method also includes processing the first data string into a first processed data string and processing the second data string into a second processed data string. The method also includes calculating a cosine similarity between the first processed data string and the second processed data string. The method also includes receiving a feedback score from a user which corresponds to an accuracy of the calculated cosine similarity. The method also includes calculating an adjusted cosine similarity between the first processed data string and the second processed data string based on the calculated cosine similarity and the feedback score.
    Type: Application
    Filed: July 15, 2020
    Publication date: January 20, 2022
    Inventors: Gunjan Narulkar, Shreyash Kumar Sharma, Greeshma Girish