Training machine learning models for open-domain question answering system
US9384450B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2015 |
| Grant date | Jul 5, 2016 |
| Priority date | — |
| Expiry date | Feb 5, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training a machine learning model for open domain question answering includes receiving trained classifiers for question answering. The received trained classifiers are used to generate a set of candidate answers to a question. Second trained classifiers are used for scoring each of the candidate answers. The scoring indicates a measure of how well each candidate answer answers the question. Using the second trained classifiers for scoring each of the candidate answers includes comparing each candidate answer to a first ground truth corresponding to the question. A set of top-scoring candidate answers is presented to a human operator who marks each as correct or incorrect. The correct candidate answers are treated as additional ground truths for further training the first trained classifiers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.