mlsanityData to 7 Oct 2026

Learning a Neural Semantic Parser from User Feedback

arXiv 1704.08760 ↗First posted 27 Apr 2017cs.CLcited by 98

Not on the map. Why?

Abstract (arXiv)

We present an approach to rapidly and easily build natural language interfaces to databases for new domains, whose performance improves over time based on user feedback, and requires minimal intervention. To achieve this, we adapt neural sequence models to map utterances directly to SQL with its full expressivity, bypassing any intermediate meaning representations. These models are immediately deployed online to solicit feedback from real users to flag incorrect queries. Finally, the popularity of SQL facilitates gathering annotations for incorrect predictions using the crowd, which is directly used to improve our models. This complete feedback loop, without intermediate representations or database specific engineering, opens up new ways of building high quality semantic parsers. Experiments suggest that this approach can be deployed quickly for any new target domain, as we show by learning a semantic parser for an online academic database from scratch.

Key facts. Cited by 98 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Apr 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 30; 2022: 18; 2023: 29; 2024: 11; 2025: 7; 2026: 2.

98 papers.

Sort:

By area:

  1. 2023Teaching Large Language Models to Self-Debugcited by 963
  2. 2023Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLscited by 667
  3. 2023RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLcited by 191
  4. 2024CodeS: Towards Building Open-source Language Models for Text-to-SQLcited by 183
  5. 2021LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relationscited by 119
  6. 2021Towards Robustness of Text-to-SQL Models against Synonym Substitutioncited by 110
  7. 2022Evaluating the Text-to-SQL Capabilities of Large Language Modelscited by 101
  8. 2023Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsingcited by 93
  9. 2021Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalizationcited by 92
  10. 2023Exploring Chain-of-Thought Style Prompting for Text-to-SQLcited by 69
  11. 2021Natural SQL: Making SQL Easier to Infer from Natural Language Specificationscited by 66
  12. 2021Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representationscited by 55
38 more
  1. 2024A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?cited by 54
  2. 2022A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directionscited by 51
  3. 2025OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignmentcited by 51
  4. 2022Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expectcited by 47
  5. 2021Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Datacited by 43
  6. 2023ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systemscited by 42
  7. 2021Learning to Synthesize Data for Semantic Parsingcited by 41
  8. 2022S2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parserscited by 41
  9. 2023On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codexcited by 41
  10. 2022SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Modelscited by 38
  11. 2024FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysiscited by 35
  12. 2025LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architecturescited by 35
  13. 2021NL-EDIT: Correcting semantic parse errors through natural language interactioncited by 33
  14. 2018Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedbackcited by 32
  15. 2021Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsingcited by 32
  16. 2023MultiTabQA: Generating Tabular Answers for Multi-Table Question Answeringcited by 32
  17. 2022Importance of Synthesizing High-quality Data for Text-to-SQL Parsingcited by 27
  18. 2023Natural Language Interfaces for Tabular Data Querying and Visualization: A Surveycited by 27
  19. 2021Improving Text-to-SQL with Schema Dependency Learningcited by 25
  20. 2023A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databasescited by 25
  21. 2021Structural Information Preserving for Graph-to-Text Generationcited by 24
  22. 2021Logic-Consistency Text Generation from Semantic Parsescited by 23
  23. 2022Continual Learning for Instruction Following from Realtime Feedbackcited by 21
  24. 2023Enhancing Network Management Using Code Generated by Large Language Modelscited by 20
  25. 2021Zero-Shot Cross-lingual Semantic Parsingcited by 19
  26. 2023Interactive Text-to-SQL Generation via Editable Step-by-Step Explanationscited by 19
  27. 2023Learning to Simulate Natural Language Feedback for Interactive Semantic Parsingcited by 19
  28. 2024SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Mergingcited by 16
  29. 2021Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsingcited by 15
  30. 2021mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformercited by 15
  31. 2025ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelinescited by 15
  32. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  33. 2022Extrinsic Evaluation of Machine Translation Metricscited by 14
  34. 2021On The Ingredients of an Effective Zero-shot Semantic Parsercited by 13
  35. 2023ANPL: Towards Natural Programming with Interactive Decompositioncited by 13
  36. 2024Archer: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoningcited by 13
  37. 2023Generating Data for Symbolic Language with Large Language Modelscited by 12
  38. 2026Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboardscited by 12

50 most cited of 98 All 98 (JSON)