Systems and methods for few-shot intent classifier models
US12340792B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2021 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Apr 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0638
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments of the current disclosure disclose methods and systems for training for training a natural language processing intent classification model to perform few-shot classification tasks. In some embodiments, a pair of an utterance and a first semantic label labeling the utterance may be generated and a neural network that is configured to perform natural language inference tasks may be utilized to determine the existence of an entailment relationship between the utterance and the semantic label. The semantic label may be predicted as the intent class of the utterance based on the entailment relationship and the pair may be used to train the natural language processing intent classification model to perform few-shot classification tasks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.