Cited By
View all- K.N BU J UC K SM R P(2024)A FRAMEWORK FOR CONVERTING SQL QUERIES FROM NATURAL LANGUAGEShodhKosh: Journal of Visual and Performing Arts10.29121/shodhkosh.v5.i5.2024.26725:5Online publication date: 31-May-2024
Building Natural Language Interfaces for Databases in Practice
Authors: 
Claude Lehmann, Dennis Gehrig, Stefan Holdener, Carlo Saladin, João Pedro Monteiro, Kurt StockingerAuthors Info & Claims
Claude Lehmann, Dennis Gehrig, Stefan Holdener, Carlo Saladin, João Pedro Monteiro, Kurt StockingerAuthors Info & ClaimsArticle No.: 20, Pages 1 - 4
Abstract
Natural language interfaces to databases have recently made substantial progress due to advances in machine learning. Users no longer need technical knowledge to search for insights in their database. However, research is largely focused on increasing the one-shot accuracy, instead of building systems that interact with and guide a user’s search. In this demo, we present Veezoo, an AI-powered data analytics platform that enables users to directly talk to their databases.
References
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Katrin Affolter, Kurt Stockinger, and Abraham Bernstein. 2019. A Comparative Survey of Recent Natural Language Interfaces for Databases. The VLDB Journal 28, 5 (2019).
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Sihem Amer-Yahia, Georgia Koutrika, 2021. INODE: Building an End-to-End Data Exploration System in Practice. SIGMOD Record (2021).
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Ursin Brunner and Kurt Stockinger. 2021. ValueNet: A Natural Language-to-SQL System that Learns from Database Information. In International Conference on Data Engineering (ICDE).
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Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, and Qiaofu Zhang. 2021. Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2019. Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
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Yasamin Klingler, Claude Lehmann, João Pedro Monteiro, Carlo Saladin, Abraham Bernstein, and Kurt Stockinger. 2022. Evaluation of Algorithms for Interaction-Sparse Recommendations: Neural Networks don’t Always Win. In International Conference on Extending Database Technology (EDBT).
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Ohad Rubin and Jonathan Berant. 2021. SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics.
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Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and Matthew Richardson. 2020. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
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Pengcheng Yin and Graham Neubig. 2018. TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.
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- Building Natural Language Interfaces for Databases in Practice
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July 2022
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Published: 23 August 2022
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SSDBM 2022
SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management
July 6 - 8, 2022
Copenhagen, Denmark
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View all- K.N BU J UC K SM R P(2024)A FRAMEWORK FOR CONVERTING SQL QUERIES FROM NATURAL LANGUAGEShodhKosh: Journal of Visual and Performing Arts10.29121/shodhkosh.v5.i5.2024.26725:5Online publication date: 31-May-2024
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