Patents Assigned to BILL Operations, LLC
  • Table information extraction and mapping to other documents
    Patent number: 12046063
    Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by using one or more machine learning models to map data inside structural elements, such as rows or columns, as found within a document to data objects of other documents, where the data objects are at least partially indicative of candidate categories that the data can belong to.
    Type: Grant
    Filed: August 30, 2021
    Date of Patent: July 23, 2024
    Assignee: BILL Operations, LLC
    Inventors: Natalia Berestovsky, Stefano Andrea Romano, Ricardo Antonio Fernandez, Joseph Michael Price
  • Document distinguishing based on page sequence learning
    Patent number: 12002276
    Abstract: The accuracy of existing machine learning models, software technologies, and computers are improved by estimating whether a particular page belongs to a same document as another page or whether the page belongs to a different document. Such document distinguishing can be based on deriving relationship information between a first feature vector representing the page and a second feature vector representing the other page. This also improves the user experience and model building experience, among other things.
    Type: Grant
    Filed: March 22, 2021
    Date of Patent: June 4, 2024
    Assignee: BILL Operations, LLC
    Inventors: Xin Geng Kelly, Sangammohan Harimohan Singh, Derek Chan, Eitan Anzenberg