The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
A Survey on Text-to-SQL Parsing: From Rule-Based Foundations to Large Language Models
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Citations
Cites
Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., et al. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d18-1425 · Cited by 1,034
Language to Logical Form with Neural Attention
Dong, L., & Lapata, M. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p16-1004 · Cited by 700
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
Wang, B., Shin, R., Liu, X., Polozov, O., & Richardson, M. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.677 · Cited by 512
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2023) · arXiv · doi:10.48550/arxiv.2308.15363 · Cited by 485
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Guo, J., Zhan, Z., Gao, Y., Xiao, Y., Lou, J.-G., Liu, T., & Zhang, D. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1444 · Cited by 406
Evaluation of spoken language systems: the ATIS domain
Price, P. J. (1990) · Proceedings of the workshop on Speech and Natural Language - HLT '90 · doi:10.3115/116580.116612 · Cited by 385
Coarse-to-Fine Decoding for Neural Semantic Parsing
Dong, L., & Lapata, M. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1068 · Cited by 374
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the VLDB Endowment · doi:10.14778/3641204.3641221 · Cited by 342
Learning a Neural Semantic Parser from User Feedback
Iyer, S., Konstas, I., Cheung, A., Krishnamurthy, J., & Zettlemoyer, L. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1089 · Cited by 330
Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
Tang, L. R., & Mooney, R. J. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44795-4_40 · Cited by 261
Research works printed but not linked: 1
- Zelle, J.M., Mooney, R.J.: Learning to parse database queries using inductive logic programming. In: Proceedings of the national conference on artificial intelligence. pp 1050–1055 (1996)
Cited by
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
Lee, J., Baek, I., Kim, B., Bae, H., & Lee, H. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2025.emnlp-main.962 · Cited by 3
Metadata
- Authors
- El Boujddaini, F., Laguidi, A., & Mejdoub, Y.
- Venue
- Lecture Notes in Networks and Systems
- Publisher
- Springer Nature Switzerland
- Published
- 2024
- Pages
- 266-272
- ISSN
- 2367-3370
- 2367-3389
- Cited by
- 2
- References
- 23
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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- CoChat. (2026). Citation check: A Survey on Text-to-SQL Parsing: From Rule-Based Foundations to Large Language Models. https://app.cochat.ai/papers/10.1007/978-3-031-70411-6_41
- The paper
- El Boujddaini, F., Laguidi, A., & Mejdoub, Y. (2024). A Survey on Text-to-SQL Parsing: From Rule-Based Foundations to Large Language Models. Lecture Notes in Networks and Systems. https://doi.org/10.1007/978-3-031-70411-6_41
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
