Extracting veiled meaning in natural language content
US9760564B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 9, 2015 |
| Grant date | Sep 12, 2017 |
| Priority date | — |
| Expiry date | Sep 1, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Mechanisms for identifying hidden meaning in a portion of natural language content are provided. A primary portion of natural language content is received and a secondary portion of natural language content is identified that references the natural language content. The secondary portion of natural language content is analyzed to identify indications of meaning directed to elements of the primary portion of natural language content. A probabilistic model is generated based on the secondary portion of natural language content modeling a probability of hidden meaning in the primary portion of natural language content. A hidden meaning statement data structure is generated for the primary portion of natural language content based on the probabilistic model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.