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# 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](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-mohammadshahi-graph-graph-transformer-transition-based/)

1. [CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic](https://md.mova.elamur.ai/free/en/docs/papers/ud-2023-elshabrawy-camelparser2-0-state-art-dependency/) *— our card · 2023 · Proceedings of ArabicNLP 2023*
2. [Pushing the Limits of ChatGPT on NLP Tasks](https://arxiv.org/abs/2306.09719) *— 2023 · arXiv:2306.09719*
3. [RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question](https://aclanthology.org/2023.findings-acl.428/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
4. [Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling](https://aclanthology.org/2023.repl4nlp-1.15/) *— 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)*
5. [Dependency Parsing as MRC-based Span-Span Prediction](https://aclanthology.org/2022.acl-long.173/) *— 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](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-nivre-nucleus-composition-transition-based-dependency/) *— our card · 2022*
7. [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) *— our card · 2021*
8. [Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction](https://md.mova.elamur.ai/free/en/docs/papers/shi-2021-transition-based-bubble-parsing-improvements/) *— 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](https://aclanthology.org/2020.acl-main.561/) *— 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
- [← previous Who cites «Exploring diachronic syntactic shifts with dependency length: the case of scientific English»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-juzek-exploring-diachronic-syntactic-shifts-dependency/)
- [next → Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing/)
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