Machine learning model based electronic document completion
US11615236B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2022 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | Jul 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for machine learning (ML) based electronic document completion are described. A system is configured to receive one or more electronic documents to be completed for a user and provide the one or more electronic documents to an ML model. The ML model is trained to categorize the one or more electronic documents based on previously categorized electronic documents. The system is also configured to: categorize, for each electronic document of the one or more electronic documents, the electronic document into an electronic document category by the ML model; identify one or more fields to be entered by the user based on categorizing the one or more electronic documents; generate a dynamic form including the one or more fields to be entered; and provide the dynamic form for display to the user. Identifying the one or more fields to be entered may be based on a statistical model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.