Triangulated natural language decoding from forecasted deep semantic representations
US11308285B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2019 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | Aug 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/295
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer-implemented method includes developing, via a processor, a words model from a plurality of natural language text based articles relating to a subject and generating, via the processor, a static vector based upon the words model. The computer-implemented method further includes developing, via the processor, an actual articles model from actual articles, generating, via the processor, a bootstrapped vector using the actual articles model, generating, via the processor, a n-dimensional depth item using the static vector and the bootstrapped vector, and determining, via the processor, evidence based on the n-dimensional depth item. The computer-implemented method still further includes presenting, via the processor and a display, the evidence base upon an input query from a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.