Robust information extraction from utterances
US9436759B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 12, 2013 |
| Grant date | Sep 6, 2016 |
| Priority date | — |
| Expiry date | Feb 27, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/36
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.