Patents by Inventor Ravi S. SAMBANGI

Ravi S. SAMBANGI 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).

  • Deep learning based automatic ontology extraction to detect new domain knowledge
    Patent number: 11868715
    Abstract: A system processes unstructured data to identify a plurality of subsets of text in a set of text in the unstructured data and determines, for a subset from the plurality of subsets, probabilities based on a position of the subset in the set of text, a part of speech (POS) of each word in the subset, and POSs of one or more words on left and right hand sides of the subset, a number of the one or more words being selected based on a length of the set of text. The system generates a feature vector for the subset, the feature vector including the probabilities and additional features of the subset; and classifies, using a classifier, the subset into one of a plurality of classes based on the feature vector for the subset, the plurality of classes representing an ontology of a domain of knowledge.
    Type: Grant
    Filed: January 4, 2021
    Date of Patent: January 9, 2024
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Dnyanesh G. Rajpathak, Ravi S. Sambangi, Xinli Wang
  • DEEP LEARNING BASED AUTOMATIC ONTOLOGY EXTRACTION TO DETECT NEW DOMAIN KNOWLEDGE
    Publication number: 20220215167
    Abstract: A system processes unstructured data to identify a plurality of subsets of text in a set of text in the unstructured data and determines, for a subset from the plurality of subsets, probabilities based on a position of the subset in the set of text, a part of speech (POS) of each word in the subset, and POSs of one or more words on left and right hand sides of the subset, a number of the one or more words being selected based on a length of the set of text. The system generates a feature vector for the subset, the feature vector including the probabilities and additional features of the subset; and classifies, using a classifier, the subset into one of a plurality of classes based on the feature vector for the subset, the plurality of classes representing an ontology of a domain of knowledge.
    Type: Application
    Filed: January 4, 2021
    Publication date: July 7, 2022
    Inventors: Dnyanesh G. RAJPATHAK, Ravi S. SAMBANGI, Xinli WANG