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Who cites «Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew»

24 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. HalleluBERT: Let Every Token That Has Meaning Bear Its Weight — our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  3. NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew — our card · 2025 · arXiv:2510.20386
  4. Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages — 2025 · arXiv:2502.10140
  5. Systematic Textual Availability of Manuscripts — our card · 2025 · Proceedings of the 5th Conference on Language, Data and Knowledge
  6. Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language — our card · 2024 · arXiv:2403.09719
  7. ABCD Team at SemEval-2023 Task 12: An Ensemble Transformer-based System for African Sentiment Analysis — 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
  8. Comparing Biases and the Impact of Multilingual Training across Multiple Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  9. DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew — our card · 2023 · arXiv:2308.16687
  10. HeRo: RoBERTa and Longformer Hebrew Language Models — our card · 2023 · arXiv:2304.11077
  11. Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew — our card · 2023 · arXiv:2309.14568
  12. Multilingual Sequence-to-Sequence Models for Hebrew NLP — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  13. The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  14. 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)
  15. Assessment of Massively Multilingual Sentiment Classifiers — 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
  16. Collateral facilitation in humans and language models — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
  17. 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
  18. Morphology Without Borders: Clause-Level Morphology — 2022 · Transactions of the Association for Computational Linguistics
  19. AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With — our card · 2021 · arXiv:2104.04052
  20. Evaluating morphological typology in zero-shot cross-lingual transfer — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  21. HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition — our card · 2021 · arXiv:2102.01909
  22. The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  23. How Universal are Universal Dependencies? Exploiting Syntax for Multilingual Clause-level Sentiment Detection — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  24. Graph convolutional networks for exploring authorship hypotheses — our card · 2019 · Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature