System and method for combining expert knowledge and deep learning to identify and classify regulatory maintenance compliances
US10867135B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2020 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Jun 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/289
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer implemented method includes building a Positive Knowledge Base with directive words, designated verbs and designated objects. A Negative Knowledge Base with designated phrases and designated legal terms is built. Tasks and phrases from the Positive Knowledge Base and the Negative Knowledge Base are built. Regulations are received. Phrases from the regulations are weighted against the Positive Knowledge Base and the Negative Knowledge Base to isolate positive Maintenance Compliances. The positive Maintenance Compliances are matched to tasks to derive ranked Maintenance Compliances. The ranked Maintenance Compliances are supplied.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.