Adversarial training data augmentation for generating related responses
US11189269B2 · kind B2 · utility
1Cited by
3References
12Claims
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Key dates
| Filing date | Jan 15, 2019 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Oct 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An intelligent computer platform to introduce adversarial training to natural language processing (NLP). An initial training set is modified with synthetic training data to create an adversarial training set. The modification includes use of natural language understanding (NLU) to parse the initial training set into components and identify component categories. As input is presented, a classifier evaluates the input and leverages the adversarial training set to identify the intent of the input. An identified classification model generates accurate and reflective response data based on the received input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.