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# Who cites «Generation from Abstract Meaning Representation using Tree Transducers»

56 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/flanigan-2016-generation-abstract-meaning-representation-tree/)

1. [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*
2. [Event-Keyed Summarization](https://aclanthology.org/2024.findings-emnlp.431/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
3. [Exploring Data Augmentation in Neural DRS-to-Text Generation](https://aclanthology.org/2024.eacl-long.132/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation](https://aclanthology.org/2024.lrec-main.612/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
5. [Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters](https://aclanthology.org/2023.eacl-main.51/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
6. [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)*
7. [Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation](https://aclanthology.org/2022.findings-emnlp.547/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
8. [Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency](https://aclanthology.org/2022.findings-naacl.95/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
9. [Avoiding Overlap in Data Augmentation for AMR-to-Text Generation](https://aclanthology.org/2021.acl-short.132/) *— 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)*
10. [Evaluating Text Generation from Discourse Representation Structures](https://md.mova.elamur.ai/free/en/docs/papers/wang-2021-evaluating-text-generation-discourse-representation/) *— our card · 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
11. [Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2021.findings-acl.136/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
12. [Promoting Graph Awareness in Linearized Graph-to-Text Generation](https://aclanthology.org/2021.findings-acl.82/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
13. [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*
14. [Text Generation from Discourse Representation Structures](https://md.mova.elamur.ai/free/en/docs/papers/liu-2021-text-generation-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*
15. [WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections](https://aclanthology.org/2021.findings-acl.17/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
16. [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*
17. [AMR-To-Text Generation with Graph Transformer](https://aclanthology.org/2020.tacl-1.2/) *— 2020 · Transactions of the Association for Computational Linguistics*
18. [Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/) *— our card · 2020*
19. [GPT-too: A Language-Model-First Approach for AMR-to-Text Generation](https://aclanthology.org/2020.acl-main.167/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [Generalized Shortest-Paths Encoders for AMR-to-Text Generation](https://aclanthology.org/2020.coling-main.181/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
21. [Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation](https://aclanthology.org/2020.emnlp-main.169/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
22. [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*
23. [Multilingual AMR-to-Text Generation](https://aclanthology.org/2020.emnlp-main.231/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
24. [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)*
25. [ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis](https://aclanthology.org/2020.inlg-1.44/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
26. [融合目标端句法的AMR-to-Text生成(AMR-to-Text Generation with Target Syntax)](https://aclanthology.org/2020.ccl-1.16/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
27. [Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://aclanthology.org/Q19-1019/) *— 2019 · Transactions of the Association for Computational Linguistics*
28. [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)*
29. [Factorising AMR generation through syntax](https://md.mova.elamur.ai/free/en/docs/papers/cao-2019-factorising-amr-generation-through-syntax/) *— our card · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
30. [Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization](https://aclanthology.org/P19-1201/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
31. [Modeling Graph Structure in Transformer for Better AMR-to-Text Generation](https://aclanthology.org/D19-1548/) *— 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)*
32. [PaperRobot: Incremental Draft Generation of Scientific Ideas](https://aclanthology.org/P19-1191/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
33. [Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence](https://arxiv.org/abs/1906.01965) *— 2019 · arXiv:1906.01965*
34. [A Graph-to-Sequence Model for AMR-to-Text Generation](https://aclanthology.org/P18-1150/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [A Structured Syntax-Semantics Interface for English-AMR Alignment](https://md.mova.elamur.ai/free/en/docs/papers/szubert-2018-structured-syntax-semantics-interface-english/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
36. [Abstract Meaning Representation for Multi-Document Summarization](https://aclanthology.org/C18-1101/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
37. [An empirical evaluation of AMR parsing for legal documents](https://arxiv.org/abs/1811.08078) *— 2018 · arXiv:1811.08078*
38. [Describing a Knowledge Base](https://aclanthology.org/W18-6502/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
39. [Graph-to-Sequence Learning using Gated Graph Neural Networks](https://aclanthology.org/P18-1026/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem](https://aclanthology.org/W18-6542/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
41. [Transition-Based Chinese AMR Parsing](https://aclanthology.org/N18-2040/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
42. [Weighted DAG Automata for Semantic Graphs](https://aclanthology.org/J18-1005/) *— 2018 · Computational Linguistics*
43. [AMR-to-text Generation with Synchronous Node Replacement Grammar](https://md.mova.elamur.ai/free/en/docs/papers/song-2017-amr-text-generation-synchronous-node/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
44. [Getting the Most out of AMR Parsing](https://aclanthology.org/D17-1129/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
45. [Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation](https://md.mova.elamur.ai/free/en/docs/papers/ferreira-2017-linguistic-realisation-as-machine-translation/) *— our card · 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
46. [Neural AMR: Sequence-to-Sequence Models for Parsing and Generation](https://md.mova.elamur.ai/free/en/docs/papers/konstas-2017-neural-amr-sequence-sequence-models/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation](https://md.mova.elamur.ai/free/en/docs/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/) *— our card · 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
48. [SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation](https://aclanthology.org/S17-2090/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
49. [Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.](https://aclanthology.org/S17-2096/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
50. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
51. [AMR-to-text generation as a Traveling Salesman Problem](https://aclanthology.org/D16-1224/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
52. [Generating English from Abstract Meaning Representations](https://md.mova.elamur.ai/free/en/docs/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/) *— our card · 2016 · Proceedings of the 9th International Natural Language Generation conference*
53. cabezudo-2019-natural-language-generation-recently-learned
54. lo-2022-semantic-composition-pshrg-derivation-tree
55. ma-2018-sound-signal-processing-seq2tree-network
56. nikiforovskaya-2025-fine-tuning-prompting-rag-knowledge
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