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home / docs / papers / cited-by / Who cites «Neural AMR: Sequence-to-Sequence Models for Parsing and Generation» · page 2

Who cites «Neural AMR: Sequence-to-Sequence Models for Parsing and Generation» · page 2

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

Pages: 1 · 2

  1. Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  2. Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning — 2019 · Transactions of the Association for Computational Linguistics
  3. Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing — 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)
  4. 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)
  5. 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)
  6. Generating Text from Anonymised Structures — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  7. Graph-Based Meaning Representations: Design and Processing — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  8. Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing — 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
  9. Improving Grounded Natural Language Understanding through Human-Robot Dialog — 2019 · arXiv:1903.00122
  10. 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
  11. Learning an Executable Neural Semantic Parser — 2019 · Computational Linguistics
  12. Linguistic Information in Neural Semantic Parsing with Multiple Encoders — 2019 · Proceedings of the 13th International Conference on Computational Semantics - Short Papers
  13. MRP 2019: Cross-Framework Meaning Representation Parsing — 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
  14. 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)
  15. Neural Text Generation from Rich Semantic Representations — 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)
  16. Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures — 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
  17. Revisiting the Binary Linearization Technique for Surface Realization — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  18. SemBleu: A Robust Metric for AMR Parsing Evaluation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  19. Semantic Neural Machine Translation Using AMR — our card · 2019 · Transactions of the Association for Computational Linguistics
  20. Sentence-Level Content Planning and Style Specification for Neural 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)
  21. Structural Neural Encoders for AMR-to-text Generation — 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)
  22. Text Generation from Knowledge Graphs with Graph Transformers — 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)
  23. Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling — 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)
  24. 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)
  25. A Sequence-to-Sequence Model for Semantic Role Labeling — 2018 · Proceedings of the Third Workshop on Representation Learning for NLP
  26. 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)
  27. AMR Parsing as Graph Prediction with Latent Alignment — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Abstract Meaning Representation for Multi-Document Summarization — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  29. Abstract Meaning Representation for Paraphrase Detection — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  30. Accurate SHRG-Based Semantic Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  32. An AMR Aligner Tuned by Transition-based Parser — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  33. An empirical evaluation of AMR parsing for legal documents — 2018 · arXiv:1811.08078
  34. Better Transition-Based AMR Parsing with a Refined Search Space — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  35. Char2char Generation with Reranking for the E2E NLG Challenge — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  36. Deep Graph Convolutional Encoders for Structured Data to Text Generation — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  37. Deep Learning Approaches to Text Production — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts
  38. End-to-End Content and Plan Selection for Data-to-Text Generation — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  39. Enriching the WebNLG corpus — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  40. Exploring Neural Methods for Parsing Discourse Representation Structures — 2018
  41. Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models — 2018 · Proceedings of the First Workshop on Multilingual Surface Realisation
  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. Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  44. Multitask Parsing Across Semantic Representations — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  46. NeuralREG: An end-to-end approach to referring expression generation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Question Generation from SQL Queries Improves Neural Semantic Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  48. Scene Graph Parsing as Dependency Parsing — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  49. Self-Training for Jointly Learning to Ask and Answer Questions — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  50. Sequence-to-sequence Models for Cache Transition Systems — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  52. Unsupervised Semantic Abstractive Summarization — 2018 · Proceedings of ACL 2018, Student Research Workshop
  53. Dealing with Co-reference in Neural Semantic Parsing — 2017 · Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2)
  54. Getting the Most out of AMR Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  55. 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
  56. Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations — 2017 · arXiv:1705.09980
  57. Text Summarization using Abstract Meaning Representation — 2017 · arXiv:1706.01678
  58. Transition-Based Generation from Abstract Meaning Representations — 2017 · arXiv:1707.07591
  59. cabezudo-2019-natural-language-generation-recently-learned
  60. eecke-2022-neural-heuristics-scaling-constructional-language
  61. fu-2018-lstm-hypertagging
  62. funakura-2025-theorem-proving-based-evaluation-neural
  63. guan-2021-knowledge-keywords-augmented-abstractive-sentence
  64. ha-2025-vlsp-2025-shared-task-seq2seq
  65. he-2024-generative-models-automatic-medical-decision
  66. juvekar-2023-semantically-informed-data-augmentation-unscoped
  67. kawarada-2024-demonstration-selection-strategies-numerical-time
  68. lee-2021-hpsg-mrs-based-natural-language
  69. liu-2024-soft-well-formed-semantic-parsing
  70. manome-2018-neural-sentence-generation-formal-semantics
  71. mitra-2020-deeply-embedded-knowledge-representation-reasoning
  72. pan-2020-medwriter-knowledge-aware-medical-text
  73. ye-2018-language-generation-dag-transduction

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