Rapid adaptation to contemporary text datasets
US12430377B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 22, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Jan 4, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/353
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example, a method for adapting a machine learning model includes receiving first input data; choosing a first set of unlabeled textual spans in the first input data, wherein the chosen first set of unlabeled textual spans is associated with a first domain; labeling the chosen first set of unlabeled textual spans to generate a labeled first set of textual spans; categorizing the labeled first set of textual spans to generate a categorized labeled first set of textual spans; receiving second input data; choosing a second set of unlabeled textual spans, wherein the second set of unlabeled textual spans is associated with a second domain; and adapting the machine learning model to the second domain based on the categorized second set of unlabeled textual spans that is generated based on the categorized labeled first set of textual spans.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.