mlsanityData to 7 Oct 2026

Knowledge Base Question Answering: A Semantic Parsing Perspective

arXiv 2209.04994 ↗First posted 12 Sep 2022cs.CL cs.AIcited by 22

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Abstract (arXiv)

Recent advances in deep learning have greatly propelled the research on semantic parsing. Improvement has since been made in many downstream tasks, including natural language interface to web APIs, text-to-SQL generation, among others. However, despite the close connection shared with these tasks, research on question answering over knowledge bases (KBQA) has comparatively been progressing slowly. We identify and attribute this to two unique challenges of KBQA, schema-level complexity and fact-level complexity. In this survey, we situate KBQA in the broader literature of semantic parsing and give a comprehensive account of how existing KBQA approaches attempt to address the unique challenges. Regardless of the unique challenges, we argue that we can still take much inspiration from the literature of semantic parsing, which has been overlooked by existing research on KBQA. Based on our discussion, we can better understand the bottleneck of current KBQA research and shed light on promising directions for KBQA to keep up with the literature of semantic parsing, particularly in the era of pre-trained language models.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 49 of its 84 references that are in the map. First posted on arXiv 12 Sep 2022.

Builds on

49 of 84 references.

References · 49

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37 more
  1. 2021PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Modelscited by 402
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  5. 2020GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsingcited by 171
  6. 2020Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Basescited by 169
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  15. 2019A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualizationcited by 88
  16. 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answeringcited by 86
  17. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 77
  18. 2020KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Basecited by 76
  19. 2018Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graphcited by 67
  20. 2020Leveraging Abstract Meaning Representation for Knowledge Base Question Answeringcited by 53
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  22. 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answeringcited by 48
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 9; 2024: 5; 2025: 4; 2026: 1.

22 papers.

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  1. 2022DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Basescited by 83
  2. 2023Few-shot In-context Learning for Knowledge Base Question Answeringcited by 74
  3. 2024KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generationcited by 67
  4. 2022Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environmentscited by 57
  5. 2023FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answeringcited by 51
  6. 2024Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environmentscited by 39
  7. 2023An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answeringcited by 19
  8. 2025Knowledge Graph-extended Retrieval Augmented Generation for Question Answeringcited by 14
  9. 2024Temporal Knowledge Graph Question Answering: A Surveycited by 9
  10. 2025Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generationcited by 8
  11. 2024Multi-hop Question Answering over Knowledge Graphs using Large Language Modelscited by 6
  12. 2023HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Executioncited by 5
10 more
  1. 2023Data Distribution Bottlenecks in Grounding Language Models to Knowledge Basescited by 3
  2. 2023Conversational Semantic Parsing using Dynamic Context Graphscited by 2
  3. 2024BERTologyNavigator: Advanced Question Answering with BERT-based Semanticscited by 2
  4. 2025Interpretable Question Answering with Knowledge Graphscited by 2
  5. 2022ImPaKT: A Dataset for Open-Schema Knowledge Base Constructioncited by 1
  6. 2023Semantic Operator Prediction and Applicationscited by 1
  7. 2025LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimizationcited by 1
  8. 2023ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sourcescited by 0
  9. 2023In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Modelscited by 0
  10. 2026DeSQ: Decomposition-based SPARQL Query Generationcited by 0