Mapping natural language utterances to operations over a knowledge graph
US11861308B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 2020 |
| Grant date | Jan 2, 2024 |
| Priority date | — |
| Expiry date | Apr 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques for processing natural language utterances in a knowledge graph. An example method generally includes receiving a long-tail query comprising a natural language utterance from a user of an application. Operands and operators are extracted from the natural language utterance using a natural language model. Operands may be mapped to nodes in a knowledge graph, the nodes representing values calculated from data input into the application, and operators may be mapped to operations to be performed on data extracted from the knowledge graph. The functions associated with the operators are executed using data extracted from the nodes in the knowledge graph associated with the operands to generate a query result. The query result is returned as a response to the received long-tail query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.