Question answering system-based generation of distractors using machine learning
US10789552B2 · kind B2 · utility
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Key dates
| Filing date | Aug 7, 2019 |
| Grant date | Sep 29, 2020 |
| Priority date | — |
| Expiry date | Aug 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG09B7/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Generating distractors for text-based MCT items. An MCT item stem is received. The stem is transmitted to a QA system and a plurality of candidate answers related to the stem is received from the QA system. Incorrect answers in the plurality of candidate answers are identified. Textual features are extracted from the stem. A set of semantic criteria associated with the extracted textual features is generated. Based on the generated semantic criteria, a subset of the incorrect candidate answers is selected.
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