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# Who cites «Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity»

26 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/opitz-2021-weisfeiler-leman-bamboo-novel-amr/)

1. [Evaluation Framework for Layered Meaning Representation](https://aclanthology.org/2025.dmr-1.5/) *— 2025 · Proceedings of the Sixth International Workshop on Designing Meaning Representations*
2. [PAM: Paraphrase AMR-Centric Evaluation Metric](https://aclanthology.org/2025.findings-acl.879/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
3. [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*
4. [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*
5. [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)*
6. [Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs](https://aclanthology.org/2024.lrec-main.94/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
7. [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*
8. [CALAMR: Component ALignment for Abstract Meaning Representation](https://aclanthology.org/2024.lrec-main.236/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [REMATCH: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity](https://aclanthology.org/2024.findings-naacl.64/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
10. [AMR4NLI: Interpretable and robust NLI measures from semantic graphs](https://aclanthology.org/2023.iwcs-1.29/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
11. [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)*
12. [Evaluate AMR Graph Similarity via Self-supervised Learning](https://aclanthology.org/2023.acl-long.892/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric](https://aclanthology.org/2023.eacl-main.17/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
14. [Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity](https://aclanthology.org/2023.acl-short.49/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [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*
16. [Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2023-measuring-fine-grained-semantic-equivalence/) *— our card · 2023 · Proceedings of the 15th International Conference on Computational Semantics*
17. [SMATCH++: Standardized and Extended Evaluation of Semantic Graphs](https://aclanthology.org/2023.findings-eacl.118/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
18. [A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating](https://aclanthology.org/2022.starsem-1.14/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
19. [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*
20. [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*
21. [SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features](https://aclanthology.org/2022.aacl-main.48/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
22. [Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation](https://aclanthology.org/2021.argmining-1.3/) *— 2021 · Proceedings of the 8th Workshop on Argument Mining*
23. [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*
24. ki-2024-inspecting-soundness-amr-similarity-metrics
25. li-2024-tracing-genealogies-ideas-sentence-embeddings
26. opitz-2023-smaragd-learning-smatch-accurate-rapid
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