Machine learning model modification and natural language processing
US10846485B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2019 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Sep 20, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/104
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.