Predicting reliability of structured data records generated using an extraction neural networks
US12249430B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 20, 2024 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Aug 20, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H10/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically generating an article on a selected topic. In one aspect, a method comprises: obtaining a set of input text sequences; generating a set of structured data records from the set of input text sequences using an extraction neural network, wherein each structured data record defines a structured representation of a corresponding input text sequence; filtering the collection of structured data records to identify and remove structured data records that are predicted to be unreliable; and processing the collection of structure data records to generate an article that is relevant to a selected topic and that aggregates information from across multiple structured data records.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.