Utilizing a graph neural network to identify supporting text phrases and generate digital query responses
US11271876B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2019 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Feb 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to utilizing a graph neural network to accurately and flexibly identify text phrases that are relevant for responding to a query. For example, the disclosed systems can generate a graph topology having a plurality of nodes that correspond to a plurality of text phrases and a query. The disclosed systems can then utilize a graph neural network to analyze the graph topology, iteratively propagating and updating node representations corresponding to the plurality of nodes, in order to identify text phrases that can be used to respond to the query. In some embodiments, the disclosed systems can then generate a digital response to the query based on the identified text phrases.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.