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# Who cites «Aligning English Strings with Abstract Meaning Representation Graphs»

57 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/pourdamghani-2014-aligning-english-strings-abstract-meaning/)

1. [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*
2. [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*
3. [Linguistic representations for fewer-shot relation extraction across domains](https://aclanthology.org/2023.acl-long.414/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [The Sequence Notation: Catching Complex Meanings in Simple Graphs](https://aclanthology.org/2023.iwcs-1.20/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
5. [AMR Alignment for Morphologically-rich and Pro-drop Languages](https://aclanthology.org/2022.acl-srw.13/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
6. [Inducing and Using Alignments for Transition-based AMR Parsing](https://aclanthology.org/2022.naacl-main.80/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
7. [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*
8. [AMR Parsing with Action-Pointer Transformer](https://aclanthology.org/2021.naacl-main.443/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [Bird''s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach](https://aclanthology.org/2021.acl-long.145/) *— 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)*
10. [Bootstrapping Multilingual AMR with Contextual Word Alignments](https://aclanthology.org/2021.eacl-main.30/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
11. [Multilingual AMR Parsing with Noisy Knowledge Distillation](https://aclanthology.org/2021.findings-emnlp.237/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
12. [Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments](https://aclanthology.org/2021.acl-long.257/) *— 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)*
13. [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)*
14. [Semantically Inspired AMR Alignment for the Portuguese Language](https://aclanthology.org/2020.emnlp-main.123/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
15. [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*
16. [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)*
17. [AMR Parsing as Sequence-to-Graph Transduction](https://aclanthology.org/P19-1009/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
18. [Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring](https://aclanthology.org/K19-2013/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
19. [Building a Chinese AMR Bank with Concept and Relation Alignments](https://aclanthology.org/2019.lilt-18.2/) *— 2019*
20. [Core Semantic First: A Top-down Approach for AMR Parsing](https://aclanthology.org/D19-1393/) *— 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)*
21. [Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing](https://aclanthology.org/R19-1014/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
22. [MRP 2019: Cross-Framework Meaning Representation Parsing](https://aclanthology.org/K19-2001/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
23. [Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning](https://aclanthology.org/P19-1451/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
24. [Semantically Constrained Multilayer Annotation: The Case of Coreference](https://aclanthology.org/W19-3319/) *— 2019 · Proceedings of the First International Workshop on Designing Meaning Representations*
25. [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)*
26. [AMR Parsing as Graph Prediction with Latent Alignment](https://aclanthology.org/P18-1037/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [An AMR Aligner Tuned by Transition-based Parser](https://aclanthology.org/D18-1264/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
28. [Better Transition-Based AMR Parsing with a Refined Search Space](https://aclanthology.org/D18-1198/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
29. [Cache Transition Systems for Graph Parsing](https://aclanthology.org/J18-1004/) *— 2018 · Computational Linguistics*
30. [Graph Algebraic Combinatory Categorial Grammar](https://aclanthology.org/S18-2006/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
31. [Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation](https://aclanthology.org/N18-2083/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
32. [A Transition-Based Directed Acyclic Graph Parser for UCCA](https://aclanthology.org/P17-1104/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks](https://aclanthology.org/P17-1043/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Addressing the Data Sparsity Issue in Neural AMR Parsing](https://aclanthology.org/E17-1035/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
35. [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*
36. [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*
37. [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)*
38. [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)*
39. [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)*
40. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
41. [Annotating the Little Prince with Chinese AMRs](https://aclanthology.org/W16-1702/) *— 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)*
42. [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*
43. [SemEval-2016 Task 8: Meaning Representation Parsing](https://aclanthology.org/S16-1166/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
44. [Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs](https://arxiv.org/abs/1606.02126) *— 2016 · arXiv:1606.02126*
45. [UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound](https://aclanthology.org/S16-1180/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
46. [A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing](https://aclanthology.org/K15-1004/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning*
47. [AMRICA: an AMR Inspector for Cross-language Alignments](https://aclanthology.org/N15-3008/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations*
48. [Alignment-Based Compositional Semantics for Instruction Following](https://aclanthology.org/D15-1138/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
49. [Broad-coverage CCG Semantic Parsing with AMR](https://aclanthology.org/D15-1198/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
50. [Learning to Map Dependency Parses to Abstract Meaning Representations](https://aclanthology.org/P15-3007/) *— 2015 · Proceedings of the ACL-IJCNLP 2015 Student Research Workshop*
51. [Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://aclanthology.org/D15-1136/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
52. [Robust Subgraph Generation Improves Abstract Meaning Representation Parsing](https://aclanthology.org/P15-1095/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
53. [Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation](https://arxiv.org/abs/1504.06665) *— 2015 · arXiv:1504.06665*
54. gildea-2019-ordered-tree-decomposition-hrg-rule
55. jurczyk-2015-semantics-based-graph-approach-complex
56. liang-2023-hi-arg-exploring-integration-hierarchical
57. liu-2021-generalized-supervised-attention-text-generation
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