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Text-to-SQL aims at generating SQL queries for the given natural language questions and thus helping users to query databases.
Cai, R., Xu, B., Zhang, Z., Yang, X., Li, Z., Liang, Z.: An encoder-decoder framework translating natural language to database queries. In: IJCAI (Jul 2018)
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Bogin, B., Berant, J., Gardner, M.: Representing schema structure with graph neural networks for text-to-sql parsing. In: ACL (Sep 2019)
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Guo, J., et al.: Towards complex text-to-sql in cross-domain database with intermediate representation. In: ACL. pp. 4524–4535 (2019)
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Yu, T., Zhang, R., et al.: Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task. In: EMNLP (Jun 2019)
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Wang, B., Shin, R., Liu, X., Polozov, O., Richardson, M.: Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers. ACL (2020)
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Brown, T., Mann, B., Ryder, N., et al.: Language models are few-shot learners. NIPS 33, 1877–1901 (2020)
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Lin, X.V., Socher, R., Xiong, C.: Bridging textual and tabular data for cross-domain text-to-sql semantic parsing. In: EMNLP. pp. 4870–4888 (2020)
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Zhong, V., Lewis, M., Wang, S.I., Zettlemoyer, L.: Grounded adaptation for zero-shot executable semantic parsing. In: EMNLP. pp. 6869–6882 (2020)
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Zhong, R., Yu, T., Klein, D.: Semantic evaluation for text-to-sql with distilled test suites. In: EMNLP. pp. 396–411 (2020)
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Scholak, T., Schucher, N., Bahdanau, D.: Picard: Parsing incrementally for constrained auto-regressive decoding from language models. EMNLP (2021)
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Cai, R., Yuan, J., Xu, B., Hao, Z.: Sadga: Structure-aware dual graph aggregation network for text-to-sql. NIPS (Dec 2021)
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Chen, Z., Chen, L., Zhao, Y., Cao, R., Xu, Z., Zhu, S., Yu, K.: Shadowgnn: Graph projection neural network for text-to-sql parser. In: NAACL (Jun 2021)
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Cao, R., Chen, L., et al.: Lgesql: Line graph enhanced text-to-sql model with mixed local and non-local relations. In: ACL (Jul 2021)
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Qi, J., Tang, J., He, Z., et al.: RASAT: integrating relational structures into pretrained seq2seq model for text-to-sql. In: EMNLP. pp. 3215–3229 (2022)
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Choi, D., Shin, M.C., Kim, E., Shin, D.R.: Ryansql: Recursively applying sketch-based slot fillings for complex text-to-sql in cross-domain databases. CL (2021)
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Gan, Y., Chen, X., Huang, Q., Purver, M., et al: Towards robustness of text-to-sql models against synonym substitution. In: ACL (Jul 2021)
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