An Interactive Approach to Generating SQL Queries from Natural Language
In this thesis, we contribute nalini, an natural-language based interactive interface for SQL query generation. Motivated by a lack of usability of existing systems, nalini was built with the intention of using it for complex query generation. The interface allows users to use a natural language and...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/143192 |
| Summary: | In this thesis, we contribute nalini, an natural-language based interactive interface for SQL query generation. Motivated by a lack of usability of existing systems, nalini was built with the intention of using it for complex query generation. The interface allows users to use a natural language and mathematical operations with a minimal structure. We evaluated nalini with a first-use study with five participants, where participants were asked to generate queries from the TPC-H decision support benchmark. Our study showed that users were able to use nalini to generate complex queries, and points to promising areas of future work. |
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