--- title: "Who cites HeBERT & HebEMO: a Hebrew BERT Model and a Tool…" description: "24 papers of the Elamur Research library cite «HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition», found in…" canonical: "https://research.elamur.ai/free/en/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [HeBERT & HebEMO: a Hebrew BERT Model and a Tool…](https://md.research.elamur.ai/free/en/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) / cited by # Who cites «HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition» 24 papers of our library cite it (of the 140884 whose bibliographies we read) · 19 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) - [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) — Bonan Min, Hayley Ross, Elior Sulem, et al. · 2021 · 1 548 citations - [Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/) — Julia Kreutzer, Isaac Caswell, Lisa Wang, et al. · 2021 · 447 citations - [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.research.elamur.ai/free/en/papers/acl-2022-seker-alephbert-language-model-pre-training/) — Amit 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 With](https://md.research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) — Amit Seker, Elron Bandel, Dan Bareket, et al. · 2021 · 56 citations - [Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All](https://md.research.elamur.ai/free/en/papers/hbo-2022-gueta-large-pre-trained-models-extra/) — Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al. · 2022 · 28 citations - [HeRo: RoBERTa and Longformer Hebrew Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) — Vitaly Shalumov, Harel Haskey · 2023 · 15 citations - [Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language](https://md.research.elamur.ai/free/en/papers/hbo-2022-shmidman-introducing-berel-bert-embeddings-rabbinic/) — Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al. · 2022 · 13 citations - [Offensive Hebrew Corpus and Detection using BERT](https://md.research.elamur.ai/free/en/papers/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/) — Nagham Hamad, Mustafa Jarrar, Mohammad Khalilia, et al. · 2023 · 11 citations - [Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) — Matan Eyal, Hila Noga, Roee Aharoni, et al. · 2023 · 9 citations - [Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?](https://md.research.elamur.ai/free/en/papers/eacl-2023-shmidman-do-pretrained-contextual-language-models/) — Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al. · 2023 · 5 citations - [A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry](https://md.research.elamur.ai/free/en/papers/eacl-2024-toker-dataset-metaphor-detection-early-medieval/) — Michael Toker, Oren Mishali, Ophir Münz-Manor, et al. · 2024 · 3 citations - [Automatic Text Segmentation of Ancient and Historic Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-rosensweig-automatic-text-segmentation-ancient-historic/) — Elisha Rosensweig, Benjamin Resnick, Hillel Gershuni, et al. · 2025 · 2 citations - [From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/) — Chaya Liebeskind, Marina Litvak, Natalia Vanetik · 2024 · 2 citations - [Temporal Relation Classification in Hebrew](https://md.research.elamur.ai/free/en/papers/narr-2023-yanko-temporal-relation-classification-hebrew/) — Guy Yanko, Shahaf Pariente, Kfir Bar · 2023 · 2 citations - [A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts](https://md.research.elamur.ai/free/en/papers/findings-2025-stoupak-classifier-word-level-variants-witnesses/) — Iglika Nikolova-Stoupak, Maxime Amblard, Sophie Robert-Hayek, et al. · 2025 · 1 citation - [Restoring Missing Spaces in Scraped Hebrew Social Media](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew/) — Avi Shmidman, Shaltiel Shmidman · 2025 · 1 citation - [Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/) — Natalia Vanetik, Lior Liberov, Marina Litvak, et al. · 2025 · 1 citation - [Detection of Negative Campaign in Israeli Municipal Elections](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal/) — Marina Litvak, Natalia Vanetik, Sagiv Talker, et al. · 2022 · 1 citation - [HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model](https://md.research.elamur.ai/free/en/papers/langstream-2026-kayzer-hebatron-hebrew-specialized-open-weight/) — Noam Kayzer, Dan Revital, Ori Bar Joseph, et al. · 2026 5 more papers of our library cite it; they have no page here yet.