Fetching the paper…
Reading the bibliography…
Text-to-SQL is a task that converts a natural language question into a structured query language (SQL) to retrieve information from a database.
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)
2018
Earlier work this paper cites.
Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL (2018)
2018
Earlier work this paper cites.
Ganea, O., Bécigneul, G., Hofmann, T.: Hyperbolic neural networks. NIPS (2018)
2018
Earlier work this paper cites.
Guo, J., et al.: Towards complex text-to-sql in cross-domain database with intermediate representation. In: ACL. pp. 4524–4535 (2019)
2019
Earlier work this paper cites.
Bogin, B., Berant, J., Gardner, M.: Representing schema structure with graph neural networks for text-to-sql parsing. In: ACL (Sep 2019)
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
Tian, Z., Bi, W., Li, X., Zhang, N.L.: Learning to abstract for memory-augmented conversational response generation. In: ACL. pp. 3816–3825 (2019)
2019
Earlier work this paper cites.
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)
2019
Earlier work this paper cites.
Johnson, J., Douze, M., Jegou, H.: Billion-scale similarity search with gpus. IEEE Transactions on Big Data p. 535–547 (Jun 2019)
2019
Earlier work this paper cites.
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)
2020
Earlier work this paper cites.
Brown, T., Mann, B., Ryder, N., et al.: Language models are few-shot learners. NIPS 33, 1877–1901 (2020)
2020
Earlier work this paper cites.
Lewis, M., Liu, Y., et al.: Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: ACL (Jul 2020)
2020
Earlier work this paper cites.
Raffel, C., Shazeer, N., et al.: Exploring the limits of transfer learning with a unified text-to-text transformer. JMLR 21, 5485–5551 (2020)
2020
Earlier work this paper cites.
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)
2020
Earlier work this paper cites.
2020
Cited alongside, same era.
Zhong, V., Lewis, M., Wang, S.I., Zettlemoyer, L.: Grounded adaptation for zero-shot executable semantic parsing. In: EMNLP. pp. 6869–6882 (2020)
2020
Cited alongside, same era.
Zhong, R., Yu, T., Klein, D.: Semantic evaluation for text-to-sql with distilled test suites. In: EMNLP. pp. 396–411 (2020)
2020
Cited alongside, same era.
2021
Cited alongside, same era.
Zhuang, L., Wayne, L., Ya, S., Jun, Z.: A robustly optimized bert pre-training approach with post-training. In: CCL. pp. 1218–1227 (2021)
2022
Later among the works it cites.
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)
2022
Later among the works it cites.
Lee, Y.J., Lim, C.G., Choi, H.J.: Does gpt-3 generate empathetic dialogues? a novel in-context example selection method and automatic evaluation metric for empathetic dialogue generation. In: COLING. pp. 669–683 (2022)
2022
Later among the works it cites.
2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2021
Cited alongside, same era.
Scholak, T., Schucher, N., Bahdanau, D.: Picard: Parsing incrementally for constrained auto-regressive decoding from language models. EMNLP (2021)
2021
Cited alongside, same era.
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)
2021
Cited alongside, same era.
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)
2021
Cited alongside, same era.
Hui, B., Geng, R., Ren, Q., et al.: Dynamic hybrid relation exploration network for cross-domain context-dependent semantic parsing. AAAI (May 2021)
2021
Cited alongside, same era.
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)
2021
Cited alongside, same era.
Yu, W., et al.: Similar questions correspond to similar sql queries: A case-based reasoning approach for text-to-sql translation. In: ICCBR. pp. 294–308. Springer (2021)
2021
Cited alongside, same era.
Chen, B., et al.: Probing bert in hyperbolic spaces. arXiv:2104.03869 (2021)
2021
Cited alongside, same era.
2022
Later among the works it cites.
Hui, B., Geng, R., Wang, L., et al.: S2sql: Injecting syntax to question-schema interaction graph encoder for text-to-sql parsers. In: ACL. pp. 1254–1262 (2022)
2022
Later among the works it cites.
Cai, Z., Li, X., Hui, B., Yang, M., Li, B., et al.: Star: Sql guided pre-training for context-dependent text-to-sql parsing. EMNLP (Oct 2022)
2022
Later among the works it cites.
Song, Y., et al.: Retrieval bias aware ensemble model for conditional sentence generation. In: ICASSP. pp. 6602–6606. IEEE (2022)
2022
Later among the works it cites.
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
Cheng, Z., Xie, T., Shi, P., et al.: Binding language models in symbolic languages. In: ICLR (2023)
2023
Closest in time.
Wen, Z., et al.: Grace: Gradient-guided controllable retrieval for augmenting attribute-based text generation. In: Findings of ACL 2023. pp. 8377–8398 (2023)
2023
Closest in time.