Schema and cell value aware named entity recognition model for executing natural language queries
US12271698B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2021 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Mar 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A schema and cell value aware Named Entity Recognition (NER) model is used to perform natural language queries. Natural language queries may be received via an interface of a natural language query processing system. A fuzzy search may be performed that allows non-exact matches for column names or cell values of data sets potentially used to answer the natural language query. An NER model that adds a type embedding for an exact match of a column name or cell found in the fuzzy search that corresponds to a span of one or more words may be applied as part of generating the entity prediction for the natural language query. One or more queries to at least one of the data sets may be performed to return a result to the natural language query using the entity prediction generated by the NER machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.