Intelligent augmentation of word representation via character shape embeddings in a neural network
US11222177B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2020 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Aug 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are provided for intelligent augmentation of word representations in a computing system by a processor. One or more character shape embeddings may be created in an artificial neural network (ANN) by augmenting one or more word representations based on a set of natural language processing (NLP) data, a set of word embedding vectors, and one or more clustering operations. A shape, a category, and a contextual identify of the one or more word representations may be analyzed used in creating the one or more character shape embeddings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.