Utilizing a gated self-attention memory network model for predicting a candidate answer match to a query
US11113479B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 12, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Mar 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer-readable media that can determine an answer to a query based on matching probabilities for combinations of respective candidate answers. For example, the disclosed systems can utilize a gated-self attention mechanism (GSAM) to interpret inputs that include contextual information, a query, and candidate answers. The disclosed systems can also utilize a memory network in tandem with the GSAM to form a gated self-attention memory network (GSAMN) to refine outputs or predictions over multiple reasoning hops. Further, the disclosed systems can utilize transfer learning of the GSAM/GSAMN from an initial training dataset to a target training dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.