Answer classifier and representation generator for question-answering system using GAN, and computer program for training the representation generator
US12099801B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 6, 2020 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | Jul 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A program for training a representation generator generating a representation representing an answer part included in a passage to classify whether the passage is related to an answer or not. The program causes a computer to operate as: a fake representation generator responsive to a question and a passage for outputting a fake representation representing an answer part of the passage; a real representation generator for outputting, for the question and a core answer, a real representation representing the core answer, in the same format as fake representation; a discriminator for discriminating whether fake representation and real representation are a real or fake representation; and a generative adversarial network unit training the discriminator and fake representation generator through generative adversarial network such that error determination of fake representation is maximized and error determination of real representation is minimized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.