Unsupervised clustering of intents for natural language understanding
US12230248B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 8, 2021 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Nov 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/279
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates generally to natural language understanding. An exemplary computer-enabled method comprises: receiving first utterance data corresponding to a first plurality of intents; identifying a first plurality of intent clusters using an unsupervised machine-learning algorithm, wherein each intent cluster of the first plurality of intent clusters comprises a respective subset of the first plurality of intents; training, based on the first utterance data, an intent cluster classification model, wherein the intent cluster classification model is configured to receive a user utterance and identify an intent cluster of the first plurality of intent clusters; and training, based on the first utterance data, an intent classification model for each intent cluster of the first plurality of intent clusters to obtain a plurality of intent classification models, wherein each intent classification model is configured to receive the user utterance and identify an intent from the respective intent cluster.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.