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Who cites «Factorising AMR generation through syntax»

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

  1. Using syntax for the semantic representation of sentences — 2026 · Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
  2. ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. 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)
  4. A Human Evaluation of AMR-to-English Generation Systems — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  5. 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
  6. Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  7. 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
  8. Online Back-Parsing for AMR-to-Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  9. Structural Information Preserving for Graph-to-Text Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  10. 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
  11. 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)
  12. 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)