System and method for personalized natural language understanding
US11094317B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2019 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Sep 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An electronic device for training a machine learning model includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to train a classification layer of the model. To train the classification layer, the at least one processor is configured to receive, by the classification layer, one or more language contexts from an utterance encoder layer and to classify, by the classification layer, at least one portion of an utterance into an information type among a plurality of information types. The at least one processor may be further configured to jointly train a slot filling layer and an intent detection layer of the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.