Generation of data filters from natural language queries

Abstract

Some aspects relate to technologies for generating data filters from natural language queries and using the data filters to retrieve data from a structured dataset. In accordance with some aspects, a natural language query is received. A generative model generates an initial filter based on the natural language query, where the initial filter includes an initial attribute name and an initial attribute value. A valid attribute value corresponding to the initial attribute value is identified, where the valid attribute value comprises an attribute value in the structured dataset. Additionally, a valid attribute name corresponding to the initial attribute name is identified, where the valid attribute name comprises an attribute name in the structured dataset. A valid filter is generated using the valid attribute value and the valid attribute name, and data is retrieved from the structured dataset using the valid filter.