Machine-learning tool for generating segmentation and topic metadata for documents
US11783008B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 6, 2020 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Dec 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain embodiments involve using a machine-learning tool to generate metadata identifying segments and topics for text within a document. For instance, in some embodiments, a text processing system obtains input text and applies a segmentation-and-labeling model to the input text. The segmentation-and-labeling model is trained to generate a predicted segment for the input text using a segmentation network. The segmentation-and-labeling model is also trained to generate a topic for the predicted segment using a pooling network of the model to the predicted segment. The output of the model is usable for generating metadata identifying the predicted segment and the associated topic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.