Semantic map generation from natural-language text documents
US12373647B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 19, 2022 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Aug 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques include obtaining, with a computer system, a natural-language-text document comprising unstructured text; generating, with the computer system, based on a first set of machine learning model parameters, a neural representation of the unstructured text; identifying, with the computer system, based on the neural representation, a trigger word located within the unstructured text and associated with a first category; determining, with the computer system, based on the trigger word, a region within the unstructured text comprising descriptors associated with the first category; determining, with the computer system, from the region based on a second set of machine learning model parameters, a descriptor describing an action or condition of the first category; generating, with the computer system, a data model object comprising the descriptor defining an action or condition of the first category; and storing, with the computer system, the data model object in memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.