Graph-embedding-based paragraph vector machine learning models
US11698934B2 · kind B2 · utility
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6References
21Claims
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Key dates
| Filing date | Sep 3, 2021 |
| Grant date | Jul 11, 2023 |
| Priority date | — |
| Expiry date | Sep 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis on document data objects that are associated with an ontology graph. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations on document data objects that are associated with an ontology graph using document embeddings that are generated by graph-embedding-based paragraph vector machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.