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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. Survey of Abstract Meaning Representation: Then, Now, Future — our card · 2025 · arXiv:2505.03229
  2. Event-Keyed Summarization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  3. 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)
  4. 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)
  5. 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
  6. 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)
  7. Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  8. Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  9. 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)
  10. Evaluating Text Generation from Discourse Representation Structures — our card · 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  11. Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  12. Promoting Graph Awareness in Linearized Graph-to-Text Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  13. Structural Adapters in Pretrained Language Models for AMR-to-Text Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  14. 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
  15. WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  16. A Human Evaluation of AMR-to-English Generation Systems — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  17. AMR-To-Text Generation with Graph Transformer — 2020 · Transactions of the Association for Computational Linguistics
  18. Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines — our card · 2020
  19. 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
  20. Generalized Shortest-Paths Encoders for AMR-to-Text Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  21. Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  22. 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
  23. Multilingual AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  24. Online Back-Parsing for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  25. ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  26. 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
  27. Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning — 2019 · Transactions of the Association for Computational Linguistics
  28. 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)
  29. 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)
  30. 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
  31. 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)
  32. PaperRobot: Incremental Draft Generation of Scientific Ideas — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  33. Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence — 2019 · arXiv:1906.01965
  34. 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)
  35. 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)
  36. Abstract Meaning Representation for Multi-Document Summarization — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  37. An empirical evaluation of AMR parsing for legal documents — 2018 · arXiv:1811.08078
  38. Describing a Knowledge Base — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  39. 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)
  40. Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  41. 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)
  42. Weighted DAG Automata for Semantic Graphs — 2018 · Computational Linguistics
  43. 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)
  44. Getting the Most out of AMR Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  45. 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
  46. 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)
  47. 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)
  48. SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation — 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
  49. Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR. — 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
  50. Transition-Based Generation from Abstract Meaning Representations — 2017 · arXiv:1707.07591
  51. AMR-to-text generation as a Traveling Salesman Problem — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  52. Generating English from Abstract Meaning Representations — our card · 2016 · Proceedings of the 9th International Natural Language Generation conference
  53. cabezudo-2019-natural-language-generation-recently-learned
  54. lo-2022-semantic-composition-pshrg-derivation-tree
  55. ma-2018-sound-signal-processing-seq2tree-network
  56. nikiforovskaya-2025-fine-tuning-prompting-rag-knowledge

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