xDBTagger: explainable natural language interface to databases using keyword mappings and schema graph
Author:
Funder
The Scientific and Technological Research Council of Türkiye
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s00778-023-00809-w.pdf
Reference60 articles.
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2. Baik, C., Jagadish, H.V., Li, Y.: Bridging the semantic gap with SQL query logs in natural language interfaces to databases. In: 2019 IEEE 35th International Conference on Data Engineering (ICDE), pp. 374–385 (2019)
3. Blunschi, L., Jossen, C., Kossmann, D., Mori, M., Stockinger, K.: Soda: generating SQL for business users. Proc. VLDB Endow. 5(10), 932–943 (2012)
4. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135–146 (2017)
5. Cao, R., Chen, L., Chen, Z., Zhao, Y., Zhu, S., Yu, K.: LGESQL: Line graph enhanced text-to-SQL model with mixed local and non-local relations. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 2541–2555. Association for Computational Linguistics, Online. https://doi.org/10.18653/v1/2021.acl-long.198, https://aclanthology.org/2021.acl-long.198 (2021)
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