Patents by Inventor Divya Nalam

Divya Nalam 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).

  • ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION
    Publication number: 20250021602
    Abstract: Results of applying a set of voting rules to a target corpus of documents are used to obtain a set of derived probabilistic labels indicating the probabilities of the presence of a particular attribute within the documents' constituent objects. A machine learning model is trained to identify a candidate portion of a document from which a value of the attribute is to be extracted. The training data for the model includes learned representations obtained from paths of constituent objects, and the corresponding derived labels. A proposed value for the attribute, obtained based on an assigned attribute value presence probability score for an individual constituent object from a selected candidate portion of a document, is provided.
    Type: Application
    Filed: September 27, 2024
    Publication date: January 16, 2025
    Applicant: Amazon Technologies, Inc.
    Inventors: Shrikant G Nayak, Sathya Prakash Podila Venkata Subramanya, Divya Nalam, Vijay Daniel Manason, Valluri Subbanna Chowdary
  • Artificial intelligence system for efficient attribute extraction
    Patent number: 12130863
    Abstract: Results of applying a set of voting rules to a target corpus of documents are used to obtain a set of derived probabilistic labels indicating the probabilities of the presence of a particular attribute within the documents' constituent objects. A machine learning model is trained to identify a candidate portion of a document from which a value of the attribute is to be extracted. The training data for the model includes learned representations obtained from paths of constituent objects, and the corresponding derived labels. A proposed value for the attribute, obtained based on an assigned attribute value presence probability score for an individual constituent object from a selected candidate portion of a document, is provided.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: October 29, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Shrikant G Nayak, Sathya Prakash Podila Venkata Subramanya, Divya Nalam, Vijay Daniel Manason, Valluri Subbanna Chowdary