Cross-context natural language model generation
US11699432B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 15, 2021 |
| Grant date | Jul 11, 2023 |
| Priority date | — |
| Expiry date | Dec 25, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a method including obtaining a corpus and an associated set of domain indicators. The method includes learning a set of vectors in an embedding space based on n-grams of the corpus. The method includes updating ontology graphs comprising a set of vertices and edges associating the set of vertices with each other. The method also includes determining a vector cluster using hierarchical clustering based on distances of the set of vectors with respect to each other in the embedding space and determining a hierarchy of the ontology graphs based on a set of domain indicators of a respective set of vertices corresponding to vectors of the vector cluster. The method also includes updating an index based on the ontology graphs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.