Patents by Inventor Sean Louis GOLDBERG

Sean Louis GOLDBERG 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).

  • Unsupervised domain adaptation from generic forms for new OCR forms
    Patent number: 11055560
    Abstract: The disclosed technology is generally directed to optical text recognition for forms. In one example of the technology, line grouping rules are generated based on the generic forms and a ground truth for the generic forms. Line groupings are applied to the generic forms based on the line grouping rules. Feature extraction rules are generated. Features are extracted from the generic forms based on the feature extraction rules. A key-value classifier model is generated, such that the key-value classifier model is configured to determine, for each line of a form: a probability that the line is a value, and a probability that the line is a key. A key-value pairing model is generated, such that the key-value pairing model is configured to predict, for each key in a form, which value in the form corresponds to the key.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: July 6, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dinei Afonso Ferreira Florencio, Cha Zhang, Gil Moshe Nahmias, Yu-Yun Dai, Sean Louis Goldberg
  • UNSUPERVISED DOMAIN ADAPTATION FROM GENERIC FORMS FOR NEW OCR FORMS
    Publication number: 20200160086
    Abstract: The disclosed technology is generally directed to optical text recognition for forms. In one example of the technology, line grouping rules are generated based on the generic forms and a ground truth for the generic forms. Line groupings are applied to the generic forms based on the line grouping rules. Feature extraction rules are generated. Features are extracted from the generic forms based on the feature extraction rules. A key-value classifier model is generated, such that the key-value classifier model is configured to determine, for each line of a form: a probability that the line is a value, and a probability that the line is a key. A key-value pairing model is generated, such that the key-value pairing model is configured to predict, for each key in a form, which value in the form corresponds to the key.
    Type: Application
    Filed: May 15, 2019
    Publication date: May 21, 2020
    Inventors: Dinei Afonso Ferreira FLORENCIO, Cha ZHANG, Gil Moshe NAHMIAS, Yu-Yun DAI, Sean Louis GOLDBERG