Who cites «Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew»
- HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion RecognitionAvihay Chriqui, Inbal Yahav2021 · 68 citations
- AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence LevelAmit Seker, Elron Bandel, Dan Bareket, et al.2022 · 57 citations
- 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
- What's Wrong with Hebrew NLP? And How to Make it RightReut Tsarfaty, Shoval Sadde, Stav Klein, et al.2019 · 50 citations
- Neural Modeling for Named Entities and Morphology (NEMO2)Dan Bareket, Reut Tsarfaty2021 · 32 citations
- A Pointer Network Architecture for Joint Morphological Segmentation and TaggingAmit Seker, Reut Tsarfaty2020 · 21 citations
- CamelParser2.0: A State-of-the-Art Dependency Parser for ArabicAhmed Elshabrawy, Muhammed AbuOdeh, Go Inoue, et al.2023 · 13 citations
- HeQ: a Large and Diverse Hebrew Reading Comprehension BenchmarkAmir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.2023 · 13 citations
- Multilingual Sequence-to-Sequence Models for Hebrew NLPMatan Eyal, Hila Noga, Roee Aharoni, et al.2023 · 9 citations
- MRL Parsing Without Tears: The Case of HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.2024 · 8 citations
- A Truly Joint Neural Architecture for Segmentation and ParsingDanit Yshaayahu Levi, Reut Tsarfaty2024 · 7 citations
- HeGeL: A Novel Dataset for Geo-Location from Hebrew TextTzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.2023 · 4 citations
- TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in HebrewAnita Gelboim, Elior Sulem2025 · 3 citations
- Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language ModelsMohamed Adel, Bashar Alhafni, Nizar Habash2026
- Systematic Textual Availability of ManuscriptsHadar Miller, Samuel Londner, Tsvi Kuflik, et al.2025
- The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility AssessmentBen Hagag, Reut Tsarfaty2023
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