Patents by Inventor Shriram VENKATNARAYANAN

Shriram VENKATNARAYANAN 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 of updating computer modeled processes based on real time external data
    Patent number: 11321531
    Abstract: A system for automatically updating a process model is provided. The system uses semantic similarities between externally sourced textual data and textual descriptions contained in the process model to classify words in the externally sourced textual data into one of multiple possible actionable categories. The textual data is then parsed for dependent words that are used to automatically update to an existing process model.
    Type: Grant
    Filed: November 29, 2019
    Date of Patent: May 3, 2022
    Assignee: SOFTWARE AG
    Inventors: Ganesh Swamypillai, Shriram Venkatnarayanan
  • Adaptive human to machine interaction using machine learning
    Patent number: 11093708
    Abstract: A computer system is provided that automatically generates a natural language processing model from a provided API specification. Intent names are based on operation type and name. Entity datasets are constructed based on the generated intent name. A plurality of training phrases are generated based on the entity dataset and an action dataset with a name and corresponding parameters is generated.
    Type: Grant
    Filed: December 13, 2018
    Date of Patent: August 17, 2021
    Assignee: SOFTWARE AG
    Inventors: Ganesh Swamypillai, Shriram Venkatnarayanan, Balaji Balakrishnan
  • SYSTEMS AND METHODS OF UPDATING COMPUTER MODELED PROCESSES BASED ON REAL TIME EXTERNAL DATA
    Publication number: 20210165966
    Abstract: A system for automatically updating a process model is provided. The system uses semantic similarities between externally sourced textual data and textual descriptions contained in the process model to classify words in the externally sourced textual data into one of multiple possible actionable categories. The textual data is then parsed for dependent words that are used to automatically generate update to an existing process model.
    Type: Application
    Filed: November 29, 2019
    Publication date: June 3, 2021
    Inventors: Ganesh SWAMYPILLAI, Shriram VENKATNARAYANAN
  • ADAPTIVE HUMAN TO MACHINE INTERACTION USING MACHINE LEARNING
    Publication number: 20200192976
    Abstract: A computer system is provided that automatically generates a natural language processing model from a provided API specification. Intent names are based on operation type and name. Entity datasets are constructed based on the generated intent name. A plurality of training phrases are generated based on the entity dataset and an action dataset with a name and corresponding parameters is generated.
    Type: Application
    Filed: December 13, 2018
    Publication date: June 18, 2020
    Inventors: Ganesh SWAMYPILLAI, Shriram VENKATNARAYANAN, Balaji BALAKRISHNAN