mlsanityData to 7 Oct 2026

Learning Structured Natural Language Representations for Semantic Parsing

arXiv 1704.08387 ↗First posted 27 Apr 2017cs.CLcited by 15

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Abstract (arXiv)

We introduce a neural semantic parser that converts natural language utterances to intermediate representations in the form of predicate-argument structures, which are induced with a transition system and subsequently mapped to target domains. The semantic parser is trained end-to-end using annotated logical forms or their denotations. We obtain competitive results on various datasets. The induced predicate-argument structures shed light on the types of representations useful for semantic parsing and how these are different from linguistically motivated ones.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Apr 2017.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 2; 2024: 2; 2025: 2.

15 papers.

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  1. 2021Program Transfer for Answering Complex Questions over Knowledge Basescited by 34
  2. 2022Formal Specifications from Natural Languagecited by 33
  3. 2021Awakening Latent Grounding from Pretrained Language Models for Semantic Parsingcited by 28
  4. 2021The Power of Prompt Tuning for Low-Resource Semantic Parsingcited by 21
  5. 2022GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representationcited by 13
  6. 2022Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documentscited by 7
  7. 2021Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQLcited by 5
  8. 2022Scene Graph Modification as Incremental Structure Expandingcited by 2
  9. 2023TreePiece: Faster Semantic Parsing via Tree Tokenizationcited by 2
  10. 2023VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answeringcited by 2
  11. 2025Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generationcited by 2
  12. 2022Toward a Neural Semantic Parsing System for EHR Question Answeringcited by 1
3 more
  1. 2024SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphscited by 1
  2. 2024Semantic Parsing with Candidate Expressions for Knowledge Base Question Answeringcited by 1
  3. 2025SemSketches-2021: experimenting with the machine processing of the pilot semantic sketches corpuscited by 0