Elamur Research
☰
home / papers / Recursive Non-Autoregressive Graph-to-Graph… / cited by

Who cites «Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement»

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

  1. Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  2. Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement — 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)
  3. The Thai Universal Dependency Treebank — 2025
  4. CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  5. Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  6. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  7. Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
  8. Transformers as Graph-to-Graph Models — 2023 · Proceedings of the Big Picture Workshop
  9. Dependency Parsing as MRC-based Span-Span Prediction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Dependency Parsing via Sequence Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  11. Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  12. Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Graph Refinement for Coreference Resolution — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  14. Headed-Span-Based Projective Dependency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. Multi-Layer Pseudo-Siamese Biaffine Model for Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  16. Simple and Effective Graph-to-Graph Annotation Conversion — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  17. Dependency parsing with structure preserving embeddings — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  18. Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
  19. Graph-to-Graph Transformer for Transition-based Dependency Parsing — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  20. The Unstoppable Rise of Computational Linguistics in Deep Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  21. Transition-based Parsing with Stack-Transformers — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020