[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/coref-2024-swanson-named-entity-coreference-annotation-hebrew/)

[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 «Towards Named-Entity and Coreference Annotation of the Hebrew Bible»

# Who cites «Towards Named-Entity and Coreference Annotation of the Hebrew Bible»

3 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/coref-2024-swanson-named-entity-coreference-annotation-hebrew/)

1. [Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities](https://md.mova.elamur.ai/free/en/docs/papers/novak-2026-findings-fifth-shared-task-multilingual/) *— our card · 2026 · Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)*
2. [Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?](https://md.mova.elamur.ai/free/en/docs/papers/novak-2025-findings-fourth-shared-task-multilingual/) *— our card · 2025 · Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference*
3. [Findings of the Third Shared Task on Multilingual Coreference Resolution](https://aclanthology.org/2024.crac-1.8/) *— 2024 · Proceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference*
- [← previous Who cites «Do UD Trees Match Mention Spans in Coreference Annotations?»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coref-2021-popel-do-ud-trees-match-mention/)
- [next → Who cites «Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/corkery-2019-are-we-there-yet-encoder/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
