Systems and methods for building asset based natural language call routing application with limited resources
US8370127B2 · kind B2 · utility
7Cited by
17References
23Claims
0Family size
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Key dates
| Filing date | Jun 16, 2006 |
| Grant date | Feb 5, 2013 |
| Priority date | — |
| Expiry date | Oct 3, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/183
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of processing limited natural language data to automatically develop an optimal feature set, bypassing the standard Wizard of OZ (WOZ) approach. Natural language understanding models process existing data from other domains, such as the Internet, for domain-specific adaptation through the use of an optimal feature set. When the optimal feature set is passed on to any engine, the optimal feature set produces robust models that can be used for natural language call routing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.