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home / docs / papers / cited-by / Who cites «Graph-to-Graph Transformer for Transition-based Dependency Parsing»

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. CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic — our card · 2023 · Proceedings of ArabicNLP 2023
  2. Pushing the Limits of ChatGPT on NLP Tasks — 2023 · arXiv:2306.09719
  3. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  4. Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
  5. 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)
  6. Nucleus Composition in Transition-based Dependency Parsing — our card · 2022
  7. Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement — our card · 2021
  8. 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)
  9. The Unstoppable Rise of Computational Linguistics in Deep Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  10. coman-2025-fast-frugal-text-graph-transformers
  11. henderson-2023-transformers-as-graph-graph-models
  12. ji-2021-unified-encoding-structures-transition-systems
  13. ray-2024-cssl-contrastive-self-supervised-learning
  14. tuc-2020-self-attended-stack-pointer-networks
  15. xu-2022-multi-layer-pseudo-siamese-biaffine

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