Patents by Inventor Xavier Verges Farrero

Xavier Verges Farrero 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).

  • Query recognition resiliency determination in virtual agent systems
    Patent number: 10831797
    Abstract: A computer-implemented method includes: generating, by a computing device, a sample of a query, wherein the query maps to a predetermined categorization; processing the sample with a first natural language process, wherein the processing produces an output comprising a categorization of the sample; storing data regarding whether the categorization of the output matches the predetermined categorization; generating a report based on the stored data indicating a percentage of a plurality of samples of the query whose categorizations match the predetermined characterization; outputting the report; and receiving a second natural language process comprising updates to the first natural language process based on the report, wherein the updates increase the percentage of the plurality of samples that match the predetermined categorization when processed with the second natural language process relative to when the plurality of samples was processed with the first natural language process.
    Type: Grant
    Filed: June 15, 2018
    Date of Patent: November 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Craig M. Trim, Peter C. Boyle, Brenda Haddock, Maria Wittnebert, Eniko I. Rozsa, Diman Ghazi, Abhishek Basu, Xavier Verges Farrero
  • QUERY RECOGNITION RESILIENCY DETERMINATION IN VIRTUAL AGENT SYSTEMS
    Publication number: 20190294725
    Abstract: A computer-implemented method includes: generating, by a computing device, a sample of a query, wherein the query maps to a predetermined categorization; processing the sample with a first natural language process, wherein the processing produces an output comprising a categorization of the sample; storing data regarding whether the categorization of the output matches the predetermined categorization; generating a report based on the stored data indicating a percentage of a plurality of samples of the query whose categorizations match the predetermined characterization; outputting the report; and receiving a second natural language process comprising updates to the first natural language process based on the report, wherein the updates increase the percentage of the plurality of samples that match the predetermined categorization when processed with the second natural language process relative to when the plurality of samples was processed with the first natural language process.
    Type: Application
    Filed: June 15, 2018
    Publication date: September 26, 2019
    Inventors: Craig M. Trim, Peter C. Boyle, Brenda Haddock, Maria Wittnebert, Eniko I. Rozsa, Diman Ghazi, Abhishek Basu, Xavier Verges Farrero