Patents by Inventor Stéphane Michael Meystre

Stéphane Michael Meystre 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).

  • Patent number: 10290370
    Abstract: Embodiments are directed to extracting specified data items from narrative text. In one scenario, a computer system accesses narrative textual information which includes data items that are to be identified and extracted. The computer system identifies specified data items in the narrative textual information that are to be extracted from the narrative textual information. The computer system then filters the identified data items to remove false positive identifications. The false positive filtering includes classifying the identified data items as specified data items, so that classified data items are identified as true positive items that are to be extracted from the narrative textual information. The computer system further extracts, from the narrative textual information, those filtered data items that were classified as being true positive items.
    Type: Grant
    Filed: May 22, 2014
    Date of Patent: May 14, 2019
    Assignee: University of Utah Research Foundation
    Inventors: Stéphane Michael Meystre, Óscar Ferrández Escamez
  • Publication number: 20140350965
    Abstract: Embodiments are directed to extracting specified data items from narrative text. In one scenario, a computer system accesses narrative textual information which includes data items that are to be identified and extracted. The computer system identifies specified data items in the narrative textual information that are to be extracted from the narrative textual information. The computer system then filters the identified data items to remove false positive identifications. The false positive filtering includes classifying the identified data items as specified data items, so that classified data items are identified as true positive items that are to be extracted from the narrative textual information. The computer system further extracts, from the narrative textual information, those filtered data items that were classified as being true positive items.
    Type: Application
    Filed: May 22, 2014
    Publication date: November 27, 2014
    Inventors: Stéphane Michael Meystre, Óscar Ferrández Escamez