Triggering execution of machine learning based prediction of document metadata

US12222975B2 · kind B2 · utility

Assignee

• Docusign, Inc. · US

Inventors

• Kaushik Ramaiah Narayanan · Bellevue, US
• David Matthew Wong · Cupertino, US
• David Lange · Bay City, US
• Vinay Jethava · Bjärred, SE
• Qing Zheng · Midland, US
• Mohammad Mehdi Ghanimifard · Gothenburg, SE
• Pontus Lindstrom · Olofstorp, SE
• Gowtham Rangarajan Raman · Fremont, US
• David DeBarr · Lynnwood, US
• Yan He · Houston, US

Key dates

• Filing date: Jan 13, 2023
• Grant date: Feb 11, 2025
• Expiry date: Mar 25, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/34
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.