Patent · US Active

Cross-context natural language model generation

US11151982B2 · kind B2 · utility

16Cited by
5References
30Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMar 23, 2021
Grant dateOct 19, 2021
Priority date
Expiry dateMar 23, 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.