Patents by Inventor Raja Venkata Satya Phanindra Chava

Raja Venkata Satya Phanindra Chava 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).

  • Methods and systems for generating declarative statements given documents with questions and answers
    Patent number: 11914954
    Abstract: Described herein are systems and methods to enable generation of high-quality summaries of documents that have questions and answers. To help summarize such documents, parsing methods are disclosed that account for different document formats. Methods are disclosed to anonymize personal and identifying information present in the documents. An ontology is defined to categorize dialog acts for the questions and answers present. Classifiers are disclosed based on this ontology. Methods are also disclosed to transform a question-answer pair to a canonical form. Based on the dialog acts for the question and answer combination, transformation methods were developed that build upon each of traditional NLP, and deep learning, techniques.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: February 27, 2024
    Assignee: VIRGINIA TECH INTELLECTUAL PROPERTIES, INC.
    Inventors: Edward A. Fox, Saurabh Chakravarty, Raja Venkata Satya Phanindra Chava, Maanav Mehrotra
  • METHODS AND SYSTEMS FOR GENERATING DECLARATIVE STATEMENTS GIVEN DOCUMENTS WITH QUESTIONS AND ANSWERS
    Publication number: 20210174016
    Abstract: Described herein are systems and methods to enable generation of high-quality summaries of documents that have questions and answers. To help summarize such documents, parsing methods are disclosed that account for different document formats. Methods are disclosed to anonymize personal and identifying information present in the documents. An ontology is defined to categorize dialog acts for the questions and answers present. Classifiers are disclosed based on this ontology. Methods are also disclosed to transform a question-answer pair to a canonical form. Based on the dialog acts for the question and answer combination, transformation methods were developed that build upon each of traditional NLP, and deep learning, techniques.
    Type: Application
    Filed: December 7, 2020
    Publication date: June 10, 2021
    Inventors: Edward A. Fox, Saurabh Chakravarty, Raja Venkata Satya Phanindra Chava, Maanav Mehrotra