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Who cites «Neural AMR: Sequence-to-Sequence Models for Parsing and Generation»

173 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2

  1. Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  2. Enhancing AMR Parsing with Group Relative Policy Optimization — 2025 · Proceedings of the 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025)
  3. Reassessing Graph Linearization for Sequence-to-sequence AMR Parsing: On the Advantages and Limitations of Triple-Based Encoding — 2025 · arXiv:2505.08504
  4. SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation — 2025 · arXiv:2507.13381
  5. Semantic Bridge: Universal Multi-Hop Question Generation via AMR-Driven Graph Synthesis — 2025 · arXiv:2508.10013
  6. Survey of Abstract Meaning Representation: Then, Now, Future — our card · 2025 · arXiv:2505.03229
  7. ViAMR: Fine-tuning LLMs for Abstract Meaning Representation in Vietnamese — 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing
  8. Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser — 2024 · Proceedings of the 6th Clinical Natural Language Processing Workshop
  9. Leveraging AMR Graph Structure for Better Sequence-to-Sequence AMR Parsing — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  10. Linearization Order Matters for AMR-to-Text Generation Input — 2024 · Proceedings of the 2024 UMR Parsing Workshop
  11. Linguistic Guidance for Sequence-to-Sequence AMR Parsing — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  12. Prompting for Numerical Sequences: A Case Study on Market Comment Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  13. Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM — 2024 · Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing
  14. 基于样本设计工程和大模型微调的中文意合图语义解析\ensuremath* — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
  15. 面向中文抽象语义表示解析的大模型评估与增强 — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
  16. AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. AMR Parsing with Causal Hierarchical Attention and Pointers — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  18. CCL23-Eval 任务2系统报告:WestlakeNLP,基于生成式大语言模型的中文抽象语义表示解析(System Report for CCL23-Eval Task 2: WestlakeNLP, Investigating Generative Large Language Models for Chinese AMR Parsing) — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
  19. Evaluating Generative Models for Graph-to-Text Generation — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  20. Improving Medical Dialogue Generation with Abstract Meaning Representations — 2023 · arXiv:2309.10608
  21. Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  22. ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. Reinforced Sequence Training based Subjective Bias Correction — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  24. A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
  25. AMR Alignment for Morphologically-rich and Pro-drop Languages — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  26. Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  27. BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  28. Can AMR Assist Legal and Logical Reasoning? — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  29. Graph Pre-training for AMR Parsing and Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Improving Compositional Generalization with Self-Training for Data-to-Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Maximum Bayes Smatch Ensemble Distillation for AMR Parsing — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  32. Meaning Representations for Natural Languages: Design, Models and Applications — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
  33. Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  34. On The Ingredients of an Effective Zero-shot Semantic Parser — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Paraphrase Identification with Deep Learning: A Review of Datasets and Methods — 2022 · arXiv:2212.06933
  36. Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models — 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)
  37. Semantic-based Pre-training for Dialogue Understanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  38. Sequence-to-sequence AMR Parsing with Ancestor Information — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  39. Strictly Breadth-First AMR Parsing — 2022 · arXiv:2211.03922
  40. Text-to-Text Extraction and Verbalization of Biomedical Event Graphs — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  41. Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  42. Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings — 2022 · arXiv:2206.06229
  43. Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  44. A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  45. An Error Analysis Framework for Shallow Surface Realization — our card · 2021
  46. AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
  47. Avoiding Overlap in Data Augmentation for AMR-to-Text Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  48. Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing — 2021 · Computational Linguistics
  49. Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  50. Evaluating Text Generation from Discourse Representation Structures — our card · 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  51. Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  52. Investigating Pretrained Language Models for Graph-to-Text Generation — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
  53. Latent Tree Decomposition Parsers for AMR-to-Text Generation — 2021 · arXiv:2108.12304
  54. Levi Graph AMR Parser using Heterogeneous Attention — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
  55. Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  56. Multilingual AMR Parsing with Noisy Knowledge Distillation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  57. One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  58. Promoting Graph Awareness in Linearized Graph-to-Text Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  59. Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  60. SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  61. Semantic Representation for Dialogue Modeling — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  62. Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  63. Stacked AMR Parsing with Silver Data — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  64. Structural Adapters in Pretrained Language Models for AMR-to-Text Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  65. Text Generation from Discourse Representation Structures — our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  66. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR — our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  67. Tree Decomposition Attention for AMR-to-Text Generation — 2021 · arXiv:2108.12300
  68. A Human Evaluation of AMR-to-English Generation Systems — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  69. A Unifying Theory of Transition-based and Sequence Labeling Parsing — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  70. ADAPT at SR''20: How Preprocessing and Data Augmentation Help to Improve Surface Realization — 2020 · Proceedings of the Third Workshop on Multilingual Surface Realisation
  71. AMR Parsing via Graph-Sequence Iterative Inference — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  72. AMR Parsing with Latent Structural Information — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  73. AMR Quality Rating with a Lightweight CNN — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
  74. AMR Similarity Metrics from Principles — 2020
  75. AMR-To-Text Generation with Graph Transformer — 2020 · Transactions of the Association for Computational Linguistics
  76. Autoregressive Entity Retrieval — 2020 · arXiv:2010.00904
  77. Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
  78. ENT-DESC: Entity Description Generation by Exploring Knowledge Graph — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  79. GPT-too: A Language-Model-First Approach for AMR-to-Text Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  80. Generalized Shortest-Paths Encoders for AMR-to-Text Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  81. Heterogeneous Graph Transformer for Graph-to-Sequence Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  82. Improving AMR Parsing with Sequence-to-Sequence Pre-training — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  83. Improving Text-to-Text Pre-trained Models for the Graph-to-Text Task — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
  84. Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  85. Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  86. Multilingual AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  87. Online Back-Parsing for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  88. Penman: An Open-Source Library and Tool for AMR Graphs — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  89. Pushing the Limits of AMR Parsing with Self-Learning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  90. Structural Information Preserving for Graph-to-Text Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  91. XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  92. 融合目标端句法的AMR-to-Text生成(AMR-to-Text Generation with Target Syntax) — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  93. A Partially Rule-Based Approach to AMR Generation — our card · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
  94. A Type-coherent, Expressive Representation as an Initial Step to Language Understanding — 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers
  95. AMR Parsing as Sequence-to-Graph Transduction — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  96. AMR-to-Text Generation with Cache Transition Systems — 2019 · arXiv:1912.01682
  97. Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  98. Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring — 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
  99. Automatic Accuracy Prediction for AMR Parsing — 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
  100. Broad-Coverage Semantic Parsing as Transduction — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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