Natural language processing using hybrid document embedding
US11163963B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 19, 2020 |
| Grant date | Nov 2, 2021 |
| Priority date | — |
| Expiry date | Mar 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is a need for more effective and efficient natural language processing. This need can be addressed by, for example, solutions for performing/executing natural language processing using hybrid document embedding. In one example, a method includes identifying a natural language document associated with one or more document attributes, wherein the natural language document comprises one or more natural language words; determining an attribute-based document embedding for the natural language document, wherein the attribute-based document embedding is generated based on a document vector for the natural language document and a word vector for each natural language word of the one or more natural language words; processing the attribute-based document embedding using a predictive inference model to determine one or more document-related predictions for the natural language document; and performing one or more prediction-based actions based on the one or more document-related predictions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.