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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

  1. Fine-Tuning, Prompting and RAG for Knowledge Graph-to-Russian Text Generation. How do these Methods generalise to Out-of-Distribution Data? — 2025 · Proceedings of the 18th International Natural Language Generation Conference
  2. Survey of Abstract Meaning Representation: Then, Now, Future — our card · 2025 · arXiv:2505.03229
  3. Event-Keyed Summarization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  4. Exploring Data Augmentation in Neural DRS-to-Text Generation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  6. Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  7. Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  8. Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  9. Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  11. Avoiding Overlap in Data Augmentation for AMR-to-Text Generation — 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)
  12. Evaluating Text Generation from Discourse Representation Structures — our card · 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  13. Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  14. Promoting Graph Awareness in Linearized Graph-to-Text Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  15. Structural Adapters in Pretrained Language Models for AMR-to-Text Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  16. Text Generation from 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
  17. WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  18. A Human Evaluation of AMR-to-English Generation Systems — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  19. AMR-To-Text Generation with Graph Transformer — 2020 · Transactions of the Association for Computational Linguistics
  20. Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines — our card · 2020
  21. GPT-too: A Language-Model-First Approach for AMR-to-Text Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  22. Generalized Shortest-Paths Encoders for AMR-to-Text Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  23. Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  24. Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  25. Multilingual AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  26. Online Back-Parsing for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  27. ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  28. 融合目标端句法的AMR-to-Text生成(AMR-to-Text Generation with Target Syntax) — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  29. Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning — 2019 · Transactions of the Association for Computational Linguistics
  30. Enhancing AMR-to-Text Generation with Dual Graph Representations — 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)
  31. 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)
  32. Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  33. Modeling Graph Structure in Transformer for Better AMR-to-Text Generation — 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)
  34. Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation-based Approaches, and the Case of Brazilian Portuguese Language — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  35. PaperRobot: Incremental Draft Generation of Scientific Ideas — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  36. Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence — 2019 · arXiv:1906.01965
  37. A Graph-to-Sequence Model for AMR-to-Text Generation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. A Structured Syntax-Semantics Interface for English-AMR Alignment — 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)
  39. Abstract Meaning Representation for Multi-Document Summarization — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  40. An empirical evaluation of AMR parsing for legal documents — 2018 · arXiv:1811.08078
  41. Describing a Knowledge Base — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  42. Graph-to-Sequence Learning using Gated Graph Neural Networks — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  43. Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  44. Sound Signal Processing with Seq2Tree Network — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  45. Transition-Based Chinese AMR Parsing — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  46. Weighted DAG Automata for Semantic Graphs — 2018 · Computational Linguistics
  47. AMR-to-text Generation with Synchronous Node Replacement Grammar — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  48. Getting the Most out of AMR Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  49. Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation — our card · 2017 · Proceedings of the 10th International Conference on Natural Language Generation
  50. Neural AMR: Sequence-to-Sequence Models for Parsing and Generation — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation — our card · 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
  52. SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation — 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
  53. Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR. — 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
  54. Transition-Based Generation from Abstract Meaning Representations — 2017 · arXiv:1707.07591
  55. AMR-to-text generation as a Traveling Salesman Problem — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  56. Generating English from Abstract Meaning Representations — our card · 2016 · Proceedings of the 9th International Natural Language Generation conference