Automated data classification error correction through spatial analysis using machine learning
US11816427B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2022 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Oct 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure provide techniques for automated data classification error correction through machine learning. Embodiments include receiving a set of predicted labels corresponding to a set of consecutive text strings that appear in a particular order in a document, including: a first text string corresponding to a first predicted label; a second text string that follows the first text string in the particular order and corresponds to a second predicted label; and a third text string that follows the second text string in the particular order and corresponds to a third predicted label. Embodiments include providing inputs to a machine learning model based on: the third text string; the second text string; the second predicted label; and the first predicted label. Embodiments include determining a corrected third label for the third text string based on an output provided by the machine learning model in response to the inputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.