Grammar-based automated generation of annotated synthetic form training data for machine learning
US10970530B1 · kind B1 · utility
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Key dates
| Filing date | Nov 13, 2018 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Jan 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/901
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for grammar-based automated generation of annotated synthetic form training data for machine learning are described. A training data generation engine utilizes a defined grammar to construct a layout for a form, select key-value units to place within the layout, and select attribute variants for the key-value units. The form is rendered and stored at a storage location, where it can be provided along with other similarly-generated forms to be used as training data for a machine learning model.
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