Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «DocAMR: Multi-Sentence AMR Representation and Evaluation»

Who cites «DocAMR: Multi-Sentence AMR Representation and Evaluation»

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

  1. Building Bridges between Student and Curricular Language: Creating a Corpus of Abstract Meaning Representations for the Classroom — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. Abstract Meaning Representation for Hospital Discharge Summarization — 2025 · arXiv:2506.14101
  3. AnCast++: Document-Level Evaluation of Graph-based Meaning Representations — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  4. DART: An AIGT Detector using AMR of Rephrased Text — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  5. One More Modality: Does Abstract Meaning Representation Benefit Visual Question Answering? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  6. Survey of Abstract Meaning Representation: Then, Now, Future — our card · 2025 · arXiv:2505.03229
  7. A Survey of AMR Applications — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  8. A Survey of Meaning Representations – From Theory to Practical Utility — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  9. GLAMR: Augmenting AMR with GL-VerbNet Event Structure — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  10. REMATCH: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  11. Uniform Meaning Representation Parsing as a Pipelined Approach — 2024 · Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing
  12. Exploiting Abstract Meaning Representation for Open-Domain Question Answering — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  13. FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  14. pham-2024-graph-guided-question-answer-generation

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/naseem-2022-docamr-multi-sentence-amr-representation/