Artificial intelligence system for automated adaptation of text-based classification models for multiple languages
US10417350B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 28, 2017 |
| Grant date | Sep 17, 2019 |
| Priority date | — |
| Expiry date | Mar 7, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Influential token combinations corresponding to various classes associated with a machine learning model trained to classify text collections expressed in a first language are identified. A similarity metric between one or more influential token combinations and a classification candidate text collection (expressed in a second language) is determined. A substitute text collection corresponding to the classification candidate is generated based at least partly on the similarity metric. The substitute text collection is used as input to one or more machine learning models to identify a predicted class of the classification candidate.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.