System and method for query authorization and response generation using machine learning
US11748569B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2022 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Dec 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.