The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 11, 2025
Filed:
Jan. 13, 2023
Docusign, Inc., San Francisco, CA (US);
Kaushik Narayanan, Bellevue, WA (US);
David Matthew Wong, Cupertino, CA (US);
David Lange, Gothenburg, SE;
Vinay Jethava, Bjarred, SE;
Qing Zheng, Gothenburg, SE;
Mohammad Mehdi Ghanimifard, Gothenburg, SE;
Pontus Lindstrom, Olofstorp, SE;
Gowtham Rangarajan Raman, Fremont, CA (US);
David DeBarr, Lynnwood, WA (US);
Yan He, Bellevue, WA (US);
Docusign, Inc., San Francisco, CA (US);
Abstract
A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.