IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation-Reference-Cited by-同舟云学术

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IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Author:

Cai Yitao,Wan Xiaojun

Publisher

Association for Computational Linguistics

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GS-SQL: Modeling Spatial Semantics in Spatial Text-to-SQL;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. ConDA: state-based data augmentation for context-dependent text-to-SQL;International Journal of Machine Learning and Cybernetics;2024-02-17

3. SE-HCL: Schema Enhanced Hybrid Curriculum Learning for Multi-Turn Text-to-SQL;IEEE Access;2024

4. Research on Chinese Question Generation SQL Statement Based on Question Semantic Graph Neural Network;Operations Research and Fuzziology;2024

5. QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing;PRICAI 2023: Trends in Artificial Intelligence;2023-11-10

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