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Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

arXiv 1909.00786 ↗First posted 2 Sep 2019cs.CLcited by 80

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Abstract (arXiv)

We focus on the cross-domain context-dependent text-to-SQL generation task. Based on the observation that adjacent natural language questions are often linguistically dependent and their corresponding SQL queries tend to overlap, we utilize the interaction history by editing the previous predicted query to improve the generation quality. Our editing mechanism views SQL as sequences and reuses generation results at the token level in a simple manner. It is flexible to change individual tokens and robust to error propagation. Furthermore, to deal with complex table structures in different domains, we employ an utterance-table encoder and a table-aware decoder to incorporate the context of the user utterance and the table schema. We evaluate our approach on the SParC dataset and demonstrate the benefit of editing compared with the state-of-the-art baselines which generate SQL from scratch. Our code is available at https://github.com/ryanzhumich/sparc_atis_pytorch.

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Sep 2019.

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Citing papers per year: 2021: 26; 2022: 20; 2023: 17; 2024: 7; 2025: 5; 2026: 5.

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  1. 2021A Survey of Data Augmentation Approaches for NLPcited by 408
  2. 2021LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relationscited by 119
  3. 2021Towards Robustness of Text-to-SQL Models against Synonym Substitutioncited by 110
  4. 2021KaggleDBQA: Realistic Evaluation of Text-to-SQL Parserscited by 105
  5. 2022RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQLcited by 85
  6. 2021Natural SQL: Making SQL Easier to Infer from Natural Language Specificationscited by 66
  7. 2024A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?cited by 54
  8. 2022A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directionscited by 51
  9. 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answeringcited by 48
  10. 2022Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expectcited by 47
  11. 2021SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQLcited by 43
  12. 2022S2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parserscited by 41
38 more
  1. 2021ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parsercited by 35
  2. 2021NL-EDIT: Correcting semantic parse errors through natural language interactioncited by 33
  3. 2022Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsingcited by 30
  4. 2021Awakening Latent Grounding from Pretrained Language Models for Semantic Parsingcited by 28
  5. 2022Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbationcited by 28
  6. 2022Importance of Synthesizing High-quality Data for Text-to-SQL Parsingcited by 27
  7. 2023Natural Language Interfaces for Tabular Data Querying and Visualization: A Surveycited by 27
  8. 2022HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsingcited by 26
  9. 2021Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answeringcited by 25
  10. 2023Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniquescited by 23
  11. 2022Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graphcited by 22
  12. 2022UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQLcited by 20
  13. 2022STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsingcited by 19
  14. 2023Interactive Text-to-SQL Generation via Editable Step-by-Step Explanationscited by 19
  15. 2023Learning to Simulate Natural Language Feedback for Interactive Semantic Parsingcited by 19
  16. 2025Reliable Text-to-SQL with Adaptive Abstentioncited by 19
  17. 2024Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translationcited by 17
  18. 2021Learning Structural Edits via Incremental Tree Transformationscited by 16
  19. 2022Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Databasecited by 16
  20. 2021Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsingcited by 15
  21. 2021Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQLcited by 13
  22. 2024CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editionscited by 13
  23. 2022CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parserscited by 11
  24. 2024SQLucid: Grounding Natural Language Database Queries with Interactive Explanationscited by 10
  25. 2022Augmenting Multi-Turn Text-to-SQL Datasets with Self-Playcited by 9
  26. 2023Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMapcited by 9
  27. 2021Few-Shot Semantic Parsing for New Predicatescited by 7
  28. 2021SPARQLing Database Queries from Intermediate Question Decompositionscited by 7
  29. 2022Towards Generalizable and Robust Text-to-SQL Parsingcited by 7
  30. 2022Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streamscited by 7
  31. 2024Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphscited by 7
  32. 2021Memory-Based Semantic Parsingcited by 6
  33. 2022Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Questioncited by 6
  34. 2023Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsingcited by 6
  35. 2025Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotationcited by 6
  36. 2021GP: Context-free Grammar Pre-training for Text-to-SQL Parserscited by 5
  37. 2021An Investigation Between Schema Linking and Text-to-SQL Performancecited by 5
  38. 2021A Chinese Multi-type Complex Questions Answering Dataset over Wikidatacited by 5

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