Learning-based method for generating visualizations via natural language
US12265557B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2023 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Aug 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Graphic visualizations, such as charts or graphs conveying data attribute values, can be generated based on natural language queries, i.e., natural language requests. To do so, a natural language request is parsed into n-grams, and from the n-grams, word embeddings are determined using a natural language model. Data attributes for the graphic visualization are discovered in the vector space from the word embeddings. The type of graphic visualization can be determined based on a request intent, which is determined using a trained intent classifier. The graphic visualization is generated to include the data attribute values of the discovered data attributes, and in accordance with the graphic visualization type.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.