[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms»

# Who cites «Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms»

5 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/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/)

1. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
2. [A Controlled Reevaluation of Coreference Resolution Models](https://aclanthology.org/2024.lrec-main.23/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
3. [Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution](https://aclanthology.org/2024.naacl-short.19/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
4. [Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution](https://aclanthology.org/2023.acl-long.588/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Opinion Piece: Can we Fix the Scope for Coreference?](https://md.mova.elamur.ai/free/en/docs/papers/zeldes-2022-opinion-piece-can-we-fix/) *— our card · 2022*
- [← previous Who cites «A Monolingual Tree-based Translation Model for Sentence Simplification» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2010-monolingual-tree-based-translation-model-3/)
- [next → Who cites «VALUE: Understanding Dialect Disparity in NLU»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ziems-2022-value-understanding-dialect-disparity-nlu/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)