Modeling english sentences within a distributed neural network for comprehension and understanding of a news article
US10929609B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 26, 2018 |
| Grant date | Feb 23, 2021 |
| Priority date | — |
| Expiry date | Aug 7, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/105
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A distributed neural network comprehend news articles that emulate language processing of English sentences and derive basic understanding. The method of computation implements the MAYA Semantic Technique (Mitchell, 2015), a mathematical technique I previously developed to determine partial semantics of sentences within a natural language processing program. The results of the model shows how a distributed neural network that composed of the words, part-of-speech and its lexical synset can be constructed to comprehend news articles and determine basic understanding of the text. The text can be from either news, journals or magazine articles.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.