Method and system of creating and summarizing unstructured natural language sentence clusters for efficient tagging
US11604926B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Feb 21, 2020 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | Jul 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computerized method for reducing domain noise, creating and summarizing human-written sentences into clusters for efficient tagging in natural language processing comprising: receiving a typed, handwritten or printed text; implementing an optical character recognition (OCR) process on human written text to generate a digital version of the human written text; splitting the digital version of the typed, handwritten or printed text into an array of sentences, using a sentence splitter to generate a split sentence version; determining a domain of the human written text; based on the domain, implementing a domain noise reduction process on the split sentences version; hierarchically clustering the split sentences version after the domain noise reduction process; and summarizing the clustered sentences and reducing the amount of data to be tagged.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.