Generating structured representations of forms using machine learning
US11048933B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 12, 2019 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Dec 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method may include acquiring, from a document, document elements and attributes describing the document elements. One or more of the attributes may be geometric attributes describing a placement of the corresponding document element within the document. The method may further include deriving features for the document elements using the attributes, detecting form components using the features, clustering the form components into line objects of a structured representation by applying an unsupervised machine learning model to the geometric attributes of the document elements, and populating a compliance form using the structured representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.