Who cites «What's Wrong with Hebrew NLP? And How to Make it Right»

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

1. MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
2. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
3. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
4. MRL Parsing Without Tears: The Case of Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
5. Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses? — our card · 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
6. Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
7. HeGeL: A Novel Dataset for Geo-Location from Hebrew Text — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
8. Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts — our card · 2023 · arXiv:2307.16213
9. Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language — our card · 2022 · arXiv:2208.01875
10. Restoring Hebrew Diacritics Without a Dictionary — our card · 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
11. AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With — our card · 2021 · arXiv:2104.04052
12. Neural Modeling for Named Entities and Morphology (NEMO2) — our card · 2021 · Transactions of the Association for Computational Linguistics
13. A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
14. From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
15. cohen-2026-degree-language-diacriticity-its-effect
16. gershov-2021-automatic-speech-based-checklist-medical
17. hagag-2023-truth-whole-truth-nothing-but — our card
18. mondshine-2025-beyond-n-grams-rethinking-evaluation
19. prabhakaran-2023-distinguishing-address-vs-reference-mentions
20. rubinstein-2021-nlp-dh-pipeline-transfer-learning — our card

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