Natural language understanding model with context resolver
US11568862B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Sep 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for training a virtual assistant to recognize and learn new context for known terms is presented. The method includes receiving a natural language input, corresponding to at least one of a desired intent and a desired entity, at a natural language processor. The method involves scoring known intents based on the natural language input to generate an intent confidence score for each known intent, and scoring known entities based on the natural language input to generate an entity confidence score for each known entity. The method involves comparing the intent confidence scores and entity confidence scores to a threshold value, and determining that the natural language input does not correspond to at least one of the known intents and the known entities based on the comparing. Finally, at least one of a new intent and a new entity are determined based on the natural language input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.