Patents by Inventor Angela Swindell

Angela Swindell 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 document summarization using hyperbolic embeddings
    Patent number: 10885281
    Abstract: A mechanism is provided to implement a summarization mechanism for summarizing an identified natural language document using hyperbolic embeddings. Responsive to receiving a query from a user for a summarization of the identified natural language document, the summarization mechanism produces a hyperbolic embedding model of embeddings of the query. The summarization mechanism compares the embeddings of the query to each of a set of embeddings associated with a set of sentences of the identified natural language document. Responsive to identifying a subset of embeddings associated with the set of sentences of the identified natural language document having a semantic specificity to a subset of embeddings associated with the query, the summarization mechanism adds the sentence to a summary of the identified natural language document. The summarization mechanism then outputs the summary to the user.
    Type: Grant
    Filed: December 6, 2018
    Date of Patent: January 5, 2021
    Assignee: International Business Machines Corporation
    Inventors: Anastas Stoyanovsky, Steven M. Pritko, Robert L. Yates, Angela Swindell, Adilakshmi Veerubhotla
  • Natural Language Document Summarization Using Hyperbolic Embeddings
    Publication number: 20200184012
    Abstract: A mechanism is provided to implement a summarization mechanism for summarizing an identified natural language document using hyperbolic embeddings. Responsive to receiving a query from a user for a summarization of the identified natural language document, the summarization mechanism produces a hyperbolic embedding model of embeddings of the query. The summarization mechanism compares the embeddings of the query to each of a set of embeddings associated with a set of sentences of the identified natural language document. Responsive to identifying a subset of embeddings associated with the set of sentences of the identified natural language document having a semantic specificity to a subset of embeddings associated with the query, the summarization mechanism adds the sentence to a summary of the identified natural language document. The summarization mechanism then outputs the summary to the user.
    Type: Application
    Filed: December 6, 2018
    Publication date: June 11, 2020
    Inventors: Anastas Stoyanovsky, Steven M. Pritko, Robert L. Yates, Angela Swindell, Adilakshmi Veerubhotla