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# Who cites «Semantic Neural Machine Translation Using AMR»

74 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/song-2019-semantic-neural-machine-translation-amr/)

1. [Concept rather than Document: Context Compression via AMR-based Conceptual Entropy](https://aclanthology.org/2026.findings-acl.590/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
2. [Extending Uniform Meaning Representation to Persian: The First Corpus Resource](https://aclanthology.org/2026.dmr-1.16/) *— 2026 · Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026*
3. [TrAinMR: an Annotator Training Website for Abstract Meaning Representation](https://aclanthology.org/2026.dmr-1.4/) *— 2026 · Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026*
4. [An Empirical Study of Large Language Models for Vietnamese Abstract Meaning Representation Parsing](https://aclanthology.org/2025.vlsp-1.34/) *— 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing*
5. [AnCast++: Document-Level Evaluation of Graph-based Meaning Representations](https://aclanthology.org/2025.findings-acl.1008/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [Enhancing AMR Parsing with Group Relative Policy Optimization](https://aclanthology.org/2025.xllm-1.11/) *— 2025 · Proceedings of the 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025)*
7. [Survey of Abstract Meaning Representation: Then, Now, Future](https://md.mova.elamur.ai/free/en/docs/papers/mansouri-2025-survey-abstract-meaning-representation-then/) *— our card · 2025 · arXiv:2505.03229*
8. [A Survey of AMR Applications](https://aclanthology.org/2024.emnlp-main.390/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
9. [A Survey of Meaning Representations – From Theory to Practical Utility](https://aclanthology.org/2024.naacl-long.159/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
10. [A Two-stage Generative Chinese AMR Parsing Method Based on Large Language Models](https://aclanthology.org/2024.ccl-3.17/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)*
11. [Analyzing the Role of Semantic Representations in the Era of Large Language Models](https://aclanthology.org/2024.naacl-long.209/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
12. [Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) *— our card · 2024 · Computational Linguistics*
13. [Efficient AMR Parsing with CLAP: Compact Linearization with an Adaptable Parser](https://aclanthology.org/2024.lrec-main.495/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
14. [Less is Enough: Less-Resourced Multilingual AMR Parsing](https://aclanthology.org/2024.isa-1.11/) *— 2024 · Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024*
15. [Leveraging AMR Graph Structure for Better Sequence-to-Sequence AMR Parsing](https://aclanthology.org/2024.lrec-main.903/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
16. [Linearization Order Matters for AMR-to-Text Generation Input](https://aclanthology.org/2024.umrpw-1.1/) *— 2024 · Proceedings of the 2024 UMR Parsing Workshop*
17. [Linguistic Guidance for Sequence-to-Sequence AMR Parsing](https://aclanthology.org/2024.ccl-1.94/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
18. [Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-lost-translationese-reducing-translation-effect/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [NounAtlas: Filling the Gap in Nominal Semantic Role Labeling](https://aclanthology.org/2024.acl-long.857/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing](https://aclanthology.org/2023.acl-short.137/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
21. [Cross-lingual AMR Aligner: Paying Attention to Cross-Attention](https://aclanthology.org/2023.findings-acl.109/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
22. [Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities](https://md.mova.elamur.ai/free/en/docs/papers/orlando-2023-exploring-non-verbal-predicates-semantic/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages](https://aclanthology.org/2023.wassa-1.56/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
24. [Improving Long Dialogue Summarization with Semantic Graph Representation](https://aclanthology.org/2023.findings-acl.871/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
25. [Incorporating Graph Information in Transformer-based AMR Parsing](https://aclanthology.org/2023.findings-acl.125/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
26. [Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.449/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
27. [Better Smatch = Better Parser? AMR evaluation is not so simple anymore](https://aclanthology.org/2022.eval4nlp-1.4/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
28. [Can AMR Assist Legal and Logical Reasoning?](https://aclanthology.org/2022.findings-emnlp.112/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
29. [Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation](https://aclanthology.org/2022.acl-long.206/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations](https://aclanthology.org/2022.acl-long.57/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Enhancing the Transformer Decoder with Transition-based Syntax](https://aclanthology.org/2022.conll-1.27/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
32. [Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation](https://aclanthology.org/2022.gem-1.49/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
33. [FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations](https://aclanthology.org/2022.naacl-main.236/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
34. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers](https://aclanthology.org/2022.dlg4nlp-1.2/) *— 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)*
37. [Meaning Representations for Natural Languages: Design, Models and Applications](https://aclanthology.org/2022.emnlp-tutorials.1/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts*
38. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.mova.elamur.ai/free/en/docs/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
39. [Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings](https://arxiv.org/abs/2206.06229) *— 2022 · arXiv:2206.06229*
40. [Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing](https://aclanthology.org/2022.lrec-1.282/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
41. [Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation](https://aclanthology.org/2022.coling-1.514/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
42. [Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution](https://aclanthology.org/2022.acl-long.199/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing](https://aclanthology.org/2021.emnlp-main.714/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
44. [Classifying Divergences in Cross-lingual AMR Pairs](https://aclanthology.org/2021.law-1.6/) *— 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
45. [End-to-End AMR Coreference Resolution](https://aclanthology.org/2021.acl-long.324/) *— 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)*
46. [Exploiting Reasoning Chains for Multi-hop Science Question Answering](https://aclanthology.org/2021.findings-emnlp.99/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
47. [Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing](https://aclanthology.org/2021.findings-acl.134/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
48. [Multilingual AMR Parsing with Noisy Knowledge Distillation](https://aclanthology.org/2021.findings-emnlp.237/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
49. [SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation](https://aclanthology.org/2021.naacl-main.30/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
50. [SPRING Goes Online: End-to-End AMR Parsing and Generation](https://aclanthology.org/2021.emnlp-demo.16/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
51. [Semantic Representation for Dialogue Modeling](https://aclanthology.org/2021.acl-long.342/) *— 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)*
52. [Structural Adapters in Pretrained Language Models for AMR-to-Text Generation](https://aclanthology.org/2021.emnlp-main.351/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
53. [Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks](https://arxiv.org/abs/2111.10545) *— 2021 · arXiv:2111.10545*
54. [基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)](https://aclanthology.org/2021.ccl-1.35/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
55. [A Human Evaluation of AMR-to-English Generation Systems](https://md.mova.elamur.ai/free/en/docs/papers/manning-2020-human-evaluation-amr-english-generation/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
56. [A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation](https://aclanthology.org/2020.acl-main.273/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
57. [AMR Parsing with Latent Structural Information](https://aclanthology.org/2020.acl-main.397/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
58. [AMR Quality Rating with a Lightweight CNN](https://aclanthology.org/2020.aacl-main.27/) *— 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*
59. [Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT](https://aclanthology.org/2020.emnlp-main.371/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
60. [Fast Interleaved Bidirectional Sequence Generation](https://aclanthology.org/2020.wmt-1.62/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
61. [Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks](https://aclanthology.org/2020.acl-main.67/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
62. [Online Back-Parsing for AMR-to-Text Generation](https://aclanthology.org/2020.emnlp-main.92/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
63. [Structural Information Preserving for Graph-to-Text Generation](https://aclanthology.org/2020.acl-main.712/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
64. [XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques](https://aclanthology.org/2020.emnlp-main.195/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
65. [Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation](https://aclanthology.org/K19-1028/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
66. [Enhancing AMR-to-Text Generation with Dual Graph Representations](https://aclanthology.org/D19-1314/) *— 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)*
67. [Leveraging Dependency Forest for Neural Medical Relation Extraction](https://aclanthology.org/D19-1020/) *— 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)*
68. [Recurrent Graph Syntax Encoder for Neural Machine Translation](https://arxiv.org/abs/1908.06559) *— 2019 · arXiv:1908.06559*
69. [Self-Attention with Structural Position Representations](https://aclanthology.org/D19-1145/) *— 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)*
70. bolucu-2022-turkish-universal-conceptual-cognitive-annotation
71. hua-2022-amrtvsumm-amr-augmented-hierarchical-network
72. jiang-2022-semantic-simplification-sentiment-classification
73. navigli-2022-tour-explicit-multilingual-semantics-word
74. tran-2023-text-generation-model-enhanced-semantic
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