🔗 Who cites «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew»

7 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Hebrew Diacritics Restoration using Visual Representation — our card · 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
2. Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew — our card · 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
3. MoVoC: Morphology-Aware Subword Construction for Ge”ez Script Languages — our card · 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
4. MoVoC: Morphology-Aware Subword Construction for Geez Script Languages — 2025 · arXiv:2509.08812
5. Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification — our card · 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
6. Why do language models perform worse for morphologically complex languages? — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
7. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024

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