Patents by Inventor Vishal Pathak

Vishal Pathak 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).

  • Natural language processing using hybrid document embedding
    Patent number: 11163963
    Abstract: There is a need for more effective and efficient natural language processing. This need can be addressed by, for example, solutions for performing/executing natural language processing using hybrid document embedding. In one example, a method includes identifying a natural language document associated with one or more document attributes, wherein the natural language document comprises one or more natural language words; determining an attribute-based document embedding for the natural language document, wherein the attribute-based document embedding is generated based on a document vector for the natural language document and a word vector for each natural language word of the one or more natural language words; processing the attribute-based document embedding using a predictive inference model to determine one or more document-related predictions for the natural language document; and performing one or more prediction-based actions based on the one or more document-related predictions.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: November 2, 2021
    Assignee: Optum Technology, Inc.
    Inventors: Shashi Kumar, Suman Roy, Vishal Pathak
  • NATURAL LANGUAGE PROCESSING USING HYBRID DOCUMENT EMBEDDING
    Publication number: 20210073471
    Abstract: There is a need for more effective and efficient natural language processing. This need can be addressed by, for example, solutions for performing/executing natural language processing using hybrid document embedding. In one example, a method includes identifying a natural language document associated with one or more document attributes, wherein the natural language document comprises one or more natural language words; determining an attribute-based document embedding for the natural language document, wherein the attribute-based document embedding is generated based on a document vector for the natural language document and a word vector for each natural language word of the one or more natural language words; processing the attribute-based document embedding using a predictive inference model to determine one or more document-related predictions for the natural language document; and performing one or more prediction-based actions based on the one or more document-related predictions.
    Type: Application
    Filed: March 19, 2020
    Publication date: March 11, 2021
    Inventors: Shashi Kumar, Suman Roy, Vishal Pathak