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A Survey on Semantic Parsing

arXiv 1812.00978 ↗First posted 3 Dec 2018cs.CLcited by 62

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Abstract (arXiv)

A significant amount of information in today's world is stored in structured and semi-structured knowledge bases. Efficient and simple methods to query them are essential and must not be restricted to only those who have expertise in formal query languages. The field of semantic parsing deals with converting natural language utterances to logical forms that can be easily executed on a knowledge base. In this survey, we examine the various components of a semantic parsing system and discuss prominent work ranging from the initial rule based methods to the current neural approaches to program synthesis. We also discuss methods that operate using varying levels of supervision and highlight the key challenges involved in the learning of such systems.

Key facts. Cited by 62 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Dec 2018.

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Citing papers per year: 2021: 7; 2022: 16; 2023: 16; 2024: 9; 2025: 10; 2026: 4.

62 papers.

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  1. 2023LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Proverscited by 168
  2. 2022RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQLcited by 85
  3. 2023Grammar Prompting for Domain-Specific Language Generation with Large Language Modelscited by 58
  4. 2024Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalizationcited by 55
  5. 2022Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptionscited by 54
  6. 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
  7. 2023Enhancing Knowledge Graph Construction Using Large Language Modelscited by 44
  8. 2022Neural Approaches to Conversational Information Retrievalcited by 42
  9. 2023On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codexcited by 41
  10. 2022Formal Specifications from Natural Languagecited by 33
  11. 2022FaiRR: Faithful and Robust Deductive Reasoning over Natural Languagecited by 29
  12. 2023Natural Language Interfaces for Tabular Data Querying and Visualization: A Surveycited by 27
38 more
  1. 2022Towards a Mathematics Formalisation Assistant using Large Language Modelscited by 22
  2. 2023CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Taskscited by 18
  3. 2021Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systemscited by 15
  4. 2023InstructExcel: A Benchmark for Natural Language Instruction in Excelcited by 15
  5. 2021On Robustness of Neural Semantic Parserscited by 14
  6. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  7. 2022GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representationcited by 13
  8. 2024Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Frameworkcited by 13
  9. 2023DBCopilot: Natural Language Querying over Massive Databases via Schema Routingcited by 10
  10. 2025MoVer: Motion Verification for Motion Graphics Animationscited by 10
  11. 2021Total Recall: a Customized Continual Learning Method for Neural Semantic Parserscited by 9
  12. 2024Temporal Knowledge Graph Question Answering: A Surveycited by 9
  13. 2022T5QL: Taming language models for SQL generationcited by 8
  14. 2021Few-Shot Semantic Parsing for New Predicatescited by 7
  15. 2021DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Modelscited by 7
  16. 2022Paraphrasing Techniques for Maritime QA systemcited by 7
  17. 2022Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentationcited by 7
  18. 2023Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoningcited by 7
  19. 2024Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketchescited by 7
  20. 2025Towards a Common Framework for Autoformalizationcited by 7
  21. 2025FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Methodcited by 7
  22. 2021Memory-Based Semantic Parsingcited by 6
  23. 2022Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligencecited by 6
  24. 2024Text2MDT: Extracting Medical Decision Trees from Medical Textscited by 6
  25. 2025ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewritingcited by 6
  26. 2022Logical Reasoning for Task Oriented Dialogue Systemscited by 5
  27. 2022Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsingcited by 5
  28. 2023Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentationcited by 5
  29. 2023UINav: A Practical Approach to Train On-Device Automation Agentscited by 5
  30. 2024UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Modelscited by 5
  31. 2023On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Softwarecited by 3
  32. 2023An ontology-aided, natural language-based approach for multi-constraint BIM model queryingcited by 2
  33. 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsingcited by 2
  34. 2025Mapping the Course for Prompt-based Structured Predictioncited by 2
  35. 2022Trust in Language Grounding: a new AI challenge for human-robot teamscited by 1
  36. 2022Toward a Neural Semantic Parsing System for EHR Question Answeringcited by 1
  37. 2023Language Cognition and Language Computation -- Human and Machine Language Understandingcited by 1
  38. 2024A Systematic Survey of Natural Language Processing for the Greek Languagecited by 1

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