[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/)

[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 «Offensive Hebrew Corpus and Detection using BERT»

# Who cites «Offensive Hebrew Corpus and Detection using BERT»

7 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/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/)

1. [Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language Detection](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-hefetz-annotation-matters-resolving-cross-corpus/) *— our card · 2026*
2. [Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/) *— our card · 2025*
3. [Translate, Then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification](https://aclanthology.org/2025.wmt-1.15/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
4. [From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/) *— our card · 2024*
5. [Sina at FigNews 2024: Multilingual Datasets Annotated with Bias and Propaganda.](https://aclanthology.org/2024.arabicnlp-1.69/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
6. [SinaTools: Open Source Toolkit for Arabic Natural Language Processing](https://arxiv.org/abs/2411.01523) *— 2024 · arXiv:2411.01523*
7. [The FIGNEWS Shared Task on News Media Narratives](https://aclanthology.org/2024.arabicnlp-1.56/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
- [← previous Who cites «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/)
- [next → Who cites «ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)