Training systems for pseudo labeling natural language
US11238228B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2020 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Apr 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0481
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples of the present disclosure can comprise systems and methods for creating and modifying named entity recognition models. The system can use two or more existing named entity recognition models to output responses to natural language queries for which the models have not yet been trained. When the output from the two or more models match, the query and the resulting output can be stored as training data for a new named entity recognition model. If the output from the two or models do not match, the query and the outputs can be stored in an exceptions file for additional review. In some embodiments, the system can comprise one or more processors and a display for providing a user interface (UI).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.