Intent and slot detection for digital assistants
US10453444B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2017 |
| Grant date | Oct 22, 2019 |
| Priority date | — |
| Expiry date | Jul 31, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1815
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein is a mechanism to adapt a machine learning model used in a language understanding model that has been trained using a first set of user input having a first set of features to effectively operate using user input having a second set of features. Losses are defined based on the first set of features, the second set of features or features common to both the first set and second set. The losses comprise one or more of a source side tagging loss, a reconstruction loss, an adversarial domain classification loss, a non-adversarial domain classification loss, an orthogonality loss, and target side tagging loss. The losses are jointly minimized using a gradient descent method and the resulting coefficients are used to retrain the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.