mlsanityData to 14 Oct 2026

Broad-Coverage Semantic Parsing as Transduction

arXiv 1909.02607 ↗First posted 5 Sep 2019cs.CLcited by 32

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Abstract (arXiv)

We unify different broad-coverage semantic parsing tasks under a transduction paradigm, and propose an attention-based neural framework that incrementally builds a meaning representation via a sequence of semantic relations. By leveraging multiple attention mechanisms, the transducer can be effectively trained without relying on a pre-trained aligner. Experiments conducted on three separate broad-coverage semantic parsing tasks -- AMR, SDP and UCCA -- demonstrate that our attention-based neural transducer improves the state of the art on both AMR and UCCA, and is competitive with the state of the art on SDP.

Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Sep 2019.

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Citing papers per year: 2021: 16; 2022: 10; 2023: 6.

32 papers.

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  1. 2022Graph Pre-training for AMR Parsing and Generationcited by 55
  2. 2022Calibrated Interpretation: Confidence Estimation in Semantic Parsingcited by 33
  3. 2021Maximum Bayes Smatch Ensemble Distillation for AMR Parsingcited by 29
  4. 2021AMR Parsing with Action-Pointer Transformercited by 25
  5. 2021Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsingcited by 25
  6. 2023Zero and Few-shot Semantic Parsing with Ambiguous Inputscited by 16
  7. 2021Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Imagescited by 14
  8. 2021Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Argumentscited by 14
  9. 2022Inducing and Using Alignments for Transition-based AMR Parsingcited by 12
  10. 2023ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translationcited by 11
  11. 2021Hierarchical Curriculum Learning for AMR Parsingcited by 10
  12. 2021Total Recall: a Customized Continual Learning Method for Neural Semantic Parserscited by 9
20 more
  1. 2021Multilingual AMR Parsing with Noisy Knowledge Distillationcited by 8
  2. 2021Few-Shot Semantic Parsing for New Predicatescited by 7
  3. 2021A Graph-Based Neural Model for End-to-End Frame Semantic Parsingcited by 7
  4. 2021HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extractioncited by 6
  5. 2021Joint Universal Syntactic and Semantic Parsingcited by 5
  6. 2022ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRscited by 5
  7. 2023Did You Mean...? Confidence-based Trade-offs in Semantic Parsingcited by 5
  8. 2021One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasetscited by 3
  9. 2022Semantic-based Pre-training for Dialogue Understandingcited by 3
  10. 2021Levi Graph AMR Parser using Heterogeneous Attentioncited by 2
  11. 2022When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systemscited by 2
  12. 2022Cross-domain Generalization for AMR Parsingcited by 2
  13. 2023Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigmcited by 2
  14. 2021A Transition-based Parser for Unscoped Episodic Logical Formscited by 1
  15. 2021Making Better Use of Bilingual Information for Cross-Lingual AMR Parsingcited by 1
  16. 2022Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inferencecited by 1
  17. 2022Schema-Free Dependency Parsing via Sequence Generationcited by 0
  18. 2022Strictly Breadth-First AMR Parsingcited by 0
  19. 2023A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsingcited by 0
  20. 2023Guiding AMR Parsing with Reverse Graph Linearizationcited by 0