Method and system for role dependent context sensitive spoken and textual language understanding with neural networks
US9842106B2 · kind B2 · utility
17Cited by
2References
20Claims
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Key dates
| Filing date | Dec 4, 2015 |
| Grant date | Dec 12, 2017 |
| Priority date | — |
| Expiry date | Dec 4, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system processes utterances that are acquired either from an automatic speech recognition (ASR) system or text. The utterances have associated identities of each party, such as role A utterances and role B utterances. The information corresponding to utterances, such as word sequence and identity, are converted to features. Each feature is received in an input layer of a neural network (NN). A dimensionality of each feature is reduced, in a projection layer of the NN, to produce a reduced dimensional feature. The reduced dimensional feature is processed to provide probabilities of labels for the utterances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.