Elamur Research
☰
home / papers / Graph-to-Graph Transformer for Transition-based… / cited by

Who cites «Graph-to-Graph Transformer for Transition-based Dependency Parsing»

15 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. 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
  3. CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic — our card · 2023 · Proceedings of ArabicNLP 2023
  4. Pushing the Limits of ChatGPT on NLP Tasks — 2023 · arXiv:2306.09719
  5. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  6. Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
  7. Transformers as Graph-to-Graph Models — 2023 · Proceedings of the Big Picture Workshop
  8. 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)
  9. Multi-Layer Pseudo-Siamese Biaffine Model for Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  10. Nucleus Composition in Transition-based Dependency Parsing — our card · 2022
  11. A Unified Encoding of Structures in Transition Systems — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  12. Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement — our card · 2021
  13. Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction — our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  14. Self Attended Stack-Pointer Networks for Learning Long Term Dependencies — 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)
  15. The Unstoppable Rise of Computational Linguistics in Deep Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics