An Interactive Approach to Generating SQL Queries from Natural Language
Name
Durvasula-rdurvas-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
1.11 MB
Format
Adobe PDF
Checksum (MD5)
ef40cabe7cead231c074b6240d854c81
Author(s)
Durvasula, Ramya
Advisor(s)
Solar-Lezama, Armando
Date Issued
February 2022
Publisher
Massachusetts Institute of Technology
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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