Predictive data and model selection for transfer learning in natural language processing
US11934922B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 9, 2020 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Jan 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer system, product, and method are provided. The computer system includes an artificial intelligence (AI) platform operatively coupled to a processor. The AI platform includes tools in the form of a machine learning model (MLM) manager, a metric manager, and a training manager. The MLM manager accesses a plurality of pre-trained source MLMs, and inputs a plurality of data objects of a test dataset into each of the source MLMs. The test dataset includes the plurality of data objects associated with respective labels. For each source MLM, associated labels are generated from the inputted data objects and a similarity metric is calculated. The MLM manager selects a base MLM to be used for transfer learning from the plurality of source MLMs based upon the calculated similarity metric. The training manager trains the selected base MLM with a target dataset for the target domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.