Patents by Inventor Praison Selvaraj

Praison Selvaraj 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).

  • Patent number: 11023982
    Abstract: Aspects of the present invention provide devices that process payroll tax notices by extracting payroll tax notice attributes and named entities from text of a payroll tax notice document using natural language processing, named entity recognition, and the labels of entities identified by way of machine comprehension. The devices generate a structured payroll tax notice summary based on the extracted payroll tax notice attributes and user context that identify a receiving taxed entity, a tax jurisdiction, and a taxing agency.
    Type: Grant
    Filed: July 12, 2018
    Date of Patent: June 1, 2021
    Assignee: ADP, LLC
    Inventors: Praison Selvaraj, Manoj Kumar Jha, Harshvardhan Prasad
  • Patent number: 10885324
    Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.
    Type: Grant
    Filed: April 11, 2019
    Date of Patent: January 5, 2021
    Assignee: ADP, LLC
    Inventors: Hongguo An, Srinivas Goda, Rajat Gupta, Harshvardhan Prasad, Nikhil Choudhari, Praison Selvaraj, Anuradha Verma, Atul Bochare, Arjun Hegde, Sanjay Kutty, Abhishek Jain, Michael Pionski
  • Publication number: 20200327319
    Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.
    Type: Application
    Filed: April 11, 2019
    Publication date: October 15, 2020
    Inventors: Hongguo An, Srinivas Goda, Rajat Gupta, Harshvardhan Prasad, Nikhil Choudhari, Praison Selvaraj, Anuradha Verma, Atul Bochare, Arjun Hegde, Sanjay Kutty, Abhishek Jain, Michael Plonski
  • Publication number: 20200020046
    Abstract: Aspects of the present invention provide devices that process payroll tax notices by extracting payroll tax notice attributes and named entities from text of a payroll tax notice document using natural language processing, named entity recognition, and the labels of entities identified by way of machine comprehension. The devices generate a structured payroll tax notice summary based on the extracted payroll tax notice attributes and user context that identify a receiving taxed entity, a tax jurisdiction, and a taxing agency.
    Type: Application
    Filed: July 12, 2018
    Publication date: January 16, 2020
    Inventors: Praison Selvaraj, Manoj Kumar Jha, Harshvardhan Prasad