Systems and methods to determine and utilize semantic relatedness between multiple natural language sources to determine strengths and weaknesses
US11048879B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 18, 2018 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Nov 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A microprocessor executable method transforms unstructured natural language texts by way of a preprocessing pipeline into a structured data representation of the entities described in the original text. The structured data representation is conducive to further processing by machine methods. The transformation process is learned by a machine learned model trained to identify relevant text segments and disregard irrelevant text segments The resulting structured data representation is refined to more accurately represent the respective entities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.