Automated categorization and summarization of documents using machine learning
US12159105B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2021 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Oct 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated summarization of documents using machine learning and artificial intelligence. The summaries include document category-specific summaries for different categories of documents. To illustrate, a document processing device may receive input data representing a document and provide first feature data based on the input data to one or more machine learning (ML) models to select a document category of a plurality of predefined document categories. The document processing device may provide second feature data based on the input data to a second set of ML models associated with the selected document category to generate annotation data associated with the document. The document processing device may provide the annotation data to a third set of ML models to generate a summary of the document, and the document processing device may generate an output based on the summary.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.