Machine-learning of document portion layout
US12072935B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 8, 2021 |
| Grant date | Aug 27, 2024 |
| Priority date | — |
| Expiry date | Sep 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/414
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning to predict a layout type that each of a plurality of portions of a document appears in. This is done even though the computer-readable representation of the document does not contain information at the granularity of the prediction to be made that identifies which layout type that each of the plurality of document portions belongs in. For each of a plurality of the portions, the machine-learning system predicts the layout type that the respective portion appears in, and indexes the document using the predictions so as to result in a computer-readable index. The index represents a predicted layout type associated with each of the plurality of portions of the document. Thus, the index can be used to search based on position of a searched term within the document.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.