Automatic synonyms using word embedding and word similarity models
US11487943B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 17, 2020 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | Nov 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method processes natural language commands (e.g., for data visualization). The method includes obtaining word embeddings (e.g., word vectors) for a set of words (or phrases) of a natural language. In some implementations, the set of words includes high-frequency or common words of the natural language. The method also includes training a word similarity model to identify similar words based on the word embeddings and a synonym database (a large lexical database, such as a thesaurus). The method also includes generating semantic annotations for a published data source using the trained word similarity model, based on the synonym database, and the word embeddings. The method also includes generating a semantic interpretation for a natural language command based on the semantic annotations for the published data source. The method also includes querying the published data source based on the sematic interpretation, thereby retrieving a dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.