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

20 papers of our library cite it (of the 140,884 whose bibliographies we read) · 14 with a page here, the most cited first · ← the paper

1. AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application WithAmit Seker, Elron Bandel, Dan Bareket, et al.2021 · 56 citations
2. Neural Modeling for Named Entities and Morphology (NEMO2)Dan Bareket, Reut Tsarfaty2021 · 32 citations
3. Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew TextsOmri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech2023 · 13 citations
4. Introducing BEREL: BERT Embeddings for Rabbinic-Encoded LanguageAvi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.2022 · 13 citations
5. Restoring Hebrew Diacritics Without a DictionaryElazar Gershuni, Yuval Pinter2022 · 9 citations
6. MRL Parsing Without Tears: The Case of HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.2024 · 8 citations
7. HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewTzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.2024 · 7 citations
8. Explicit Morphological Knowledge Improves Pre-training of Language Models for HebrewEylon Gueta, Omer Goldman, Reut Tsarfaty2023 · 7 citations
9. A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics RestorationAvi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.2020 · 6 citations
10. Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.2023 · 5 citations
11. HeGeL: A Novel Dataset for Geo-Location from Hebrew TextTzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.2023 · 4 citations
12. MTQE.en-he: Machine Translation Quality Estimation for English-HebrewAndy Rosenbaum, Assaf Siani, Ilan Kernerman2026 · 2 citations
13. The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility AssessmentBen Hagag, Reut Tsarfaty2023
14. NLP in the DH pipeline: Transfer-learning to a ChronolectAynat Rubinstein, Avi Shmidman2021

6 more papers of our library cite it; they have no page here yet.

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