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Who cites «Assessing the Cross-linguistic Utility of Abstract Meaning Representation»

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

  1. SETUP: Sentence-level English-To-Uniform Meaning Representation Parser — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. Similar, but why? A Toolkit for Explaining Text Similarity — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  3. Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation — our card · 2026 · Proceedings of the Ninth Workshop on Universal Dependencies (UDW 2026)
  4. TrAinMR: an Annotator Training Website for Abstract Meaning Representation — 2026 · Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
  5. Ambiguity and Disagreement in Abstract Meaning Representation — 2025 · Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation
  6. Can Uniform Meaning Representation Help GPT-4 Translate from Indigenous Languages? — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  7. Survey of Abstract Meaning Representation: Then, Now, Future — our card · 2025 · arXiv:2505.03229
  8. A Survey of AMR Applications — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  9. MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection — 2024 · Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024)
  10. Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset — 2024 · Proceedings of the 2024 UMR Parsing Workshop
  11. Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM — 2024 · Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing

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