Who cites «HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition»
24 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model — our card · 2026 · arXiv:2605.11255
- A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts — our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Automatic Text Segmentation of Ancient and Historic Hebrew — our card · 2025 · Proceedings of the Second Workshop on Ancient Language Processing
- Restoring Missing Spaces in Scraped Hebrew Social Media — our card · 2025 · Proceedings of the Tenth Workshop on Noisy and User-generated Text
- Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification — our card · 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
- A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry — our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
- Findings of the SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages — 2024 · Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
- From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew — our card · 2024 · Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)
- Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Combining Psychological Theory with Language Models for Suicide Risk Detection — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- 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
- HeRo: RoBERTa and Longformer Hebrew Language Models — our card · 2023 · arXiv:2304.11077
- Multilingual Sequence-to-Sequence Models for Hebrew NLP — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Offensive Hebrew Corpus and Detection using BERT — our card · 2023 · arXiv:2309.02724
- Temporal Relation Classification in Hebrew — our card · 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
- AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Detection of Negative Campaign in Israeli Municipal Elections — our card · 2022 · Proceedings of the Third Workshop on Threat, Aggression and Cyberbullying (TRAC 2022)
- Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language — our card · 2022 · arXiv:2208.01875
- Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All — our card · 2022 · arXiv:2211.15199
- AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With — our card · 2021 · arXiv:2104.04052
- Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions — 2021 · Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets — 2021 · arXiv:2103.12028 · Transactions of the Association for Computational Linguistics (2022) 10: 50-72
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey — 2021 · arXiv:2111.01243