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. The Thai Universal Dependency Treebank — 2025
2. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
3. Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
4. 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)
5. Dependency Parsing via Sequence Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
6. Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
7. 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)
8. Graph Refinement for Coreference Resolution — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
9. Headed-Span-Based Projective Dependency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
10. 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)
11. Graph-to-Graph Transformer for Transition-based Dependency Parsing — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
12. The Unstoppable Rise of Computational Linguistics in Deep Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
13. Transition-based Parsing with Stack-Transformers — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
14. coman-2025-fast-frugal-text-graph-transformers
15. floquet-2025-scaling-graph-based-dependency-parsing
16. henderson-2023-transformers-as-graph-graph-models
17. kadar-2021-dependency-parsing-structure-preserving-embeddings
18. li-2024-representation-alignment-adversarial-networks-cross
19. ray-2024-cssl-contrastive-self-supervised-learning
20. wang-2022-simple-effective-graph-graph-annotation
21. xu-2022-multi-layer-pseudo-siamese-biaffine

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