Who cites «AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With»
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,548 citations
- Quality at a Glance: An Audit of Web-Crawled Multilingual DatasetsJulia Kreutzer, Isaac Caswell, Lisa Wang, et al.2021 · 447 citations
- Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them AllEylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al.2022 · 28 citations
- DictaBERT: A State-of-the-Art BERT Suite for Modern HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel2023 · 22 citations
- HeRo: RoBERTa and Longformer Hebrew Language ModelsVitaly Shalumov, Harel Haskey2023 · 15 citations
- Introducing BEREL: BERT Embeddings for Rabbinic-Encoded LanguageAvi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.2022 · 13 citations
- ParaShoot: A Hebrew Question Answering DatasetOmri Keren, Omer Levy2021 · 12 citations
- Offensive Hebrew Corpus and Detection using BERTNagham Hamad, Mustafa Jarrar, Mohammad Khalilia, et al.2023 · 11 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
- ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and DevelopmentYanir Marmor, Kinneret Misgav, Yair Lifshitz2023 · 6 citations
- A Transformer-based parser for Syriac morphologyMartijn Naaijer, Constantijn Sikkel, Mathias Coeckelbergs, et al.2023 · 5 citations
- Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.2023 · 5 citations
- MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew ManuscriptsAvi Shmidman, Ometz Shmidman, Hillel Gershuni, et al.2024 · 4 citations
- A Dataset for Metaphor Detection in Early Medieval Hebrew PoetryMichael Toker, Oren Mishali, Ophir Münz-Manor, et al.2024 · 3 citations
- A Language Modeling Approach to Diacritic-Free Hebrew TTSAmit Roth, Arnon Turetzky, Yossi Adi2024 · 3 citations
- From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in HebrewChaya Liebeskind, Marina Litvak, Natalia Vanetik2024 · 2 citations
- Intertextual Parallel Detection in Biblical Hebrew: A Transformer-Based BenchmarkDavid M. Smiley2025 · 1 citation
- Enhancing TTS Stability in Hebrew using Discrete Semantic UnitsElla Zeldes, Or Tal, Yossi Adi2024 · 1 citation
- Detection of Negative Campaign in Israeli Municipal ElectionsMarina Litvak, Natalia Vanetik, Sagiv Talker, et al.2022 · 1 citation
- Word-Embeddings Distinguish Denominal and Root-Derived Verbs in SemiticIdo Benbaji, Omri Doron, Adele Henot-Mortier2022 · 1 citation
- Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language DetectionGili Berger Hefetz, Yossef Haim Shrem, Natalia Vanetik, et al.2026
- HalleluBERT: Let Every Token That Has Meaning Bear Its WeightRaphael Schmitt2026
- MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel DetectionDavid M. Smiley2026
- The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility AssessmentBen Hagag, Reut Tsarfaty2023
This page in Markdown → https://md.research.elamur.ai/free/en/papers/seker-2021-alephbert-hebrew-large-pre-trained/cited-by/