Deep semantic feature based few shot intent recognition method for air traffic control instructions
US12141526B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2024 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | Jan 17, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The deep semantic feature based few-shot intent recognition method for air traffic control instructions, belonging to the technical field of air traffic control; the method of the present invention solves technical problems in the prior art relating to incomplete and unreliable security situation awareness and semantic representation due to poor intent recognition ability for instructions with a small sample size, as well as difficulty in improving the applicability of models while keeping a small amount of labeled language information; the present invention uses the one obtained air traffic control instruction set to construct a domain language model and adopts an unsupervised learning method to enhance the mining and representation of deep-level features of air traffic control air-ground communication, thereby further improving the reliability of safety situation awareness and semantic representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.