Patents by Inventor Ted J. Tomlinson

Ted J. Tomlinson 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).

  • Identifying and extracting addresses within content
    Patent number: 11461353
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system extracts text windows of varying length from text in one or more content items associated with an entity. Next, the system applies a machine learning model to features for the text windows to produce scores representing the likelihoods that the text windows contain addresses. The system then identifies, based on the scores and validation rules applied to the text windows, one of the text windows as an address for the entity. Finally, the system stores the selected text window as the address for the entity.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: October 4, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Paul D. Bergeron, Ted J. Tomlinson, Junzhe Miao, Gurbir Singh
  • IDENTIFYING AND EXTRACTING ADDRESSES WITHIN CONTENT
    Publication number: 20200210442
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system extracts text windows of varying length from text in one or more content items associated with an entity. Next, the system applies a machine learning model to features for the text windows to produce scores representing the likelihoods that the text windows contain addresses. The system then identifies, based on the scores and validation rules applied to the text windows, one of the text windows as an address for the entity. Finally, the system stores the selected text window as the address for the entity.
    Type: Application
    Filed: December 27, 2018
    Publication date: July 2, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Paul D. Bergeron, Ted J. Tomlinson, Junzhe Miao, Gurbir Singh