Extraction of named entities from document data to support automation applications
US11669692B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2019 |
| Grant date | Jun 6, 2023 |
| Priority date | — |
| Expiry date | Oct 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, computer-implemented methods, and computer program products that can facilitate extraction of named entities from document data to support automation applications are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an entity extraction component that extracts, using a first machine learning process, a first data entity and a second data entity from document data indicative of a textual information. The computer executable components can further comprise a relation extraction component that determines, using a second machine learning process, a relation between the first data entity and the second data entity to generate a knowledge data graph used to execute an application associated with natural language processing for the document data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.