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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](https://md.mova.elamur.ai/free/en/docs/papers/coling-2018-amram-representations-architectures-neural-sentiment-analysis/)

1. [HalleluBERT: Let Every Token That Has Meaning Bear Its Weight](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-schmitt-hallelubert-let-every-token-that/) *— 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](https://aclanthology.org/2025.findings-naacl.67/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
3. [NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) *— 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](https://arxiv.org/abs/2502.10140) *— 2025 · arXiv:2502.10140*
5. [Systematic Textual Availability of Manuscripts](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-miller-systematic-textual-availability-manuscripts/) *— our card · 2025*
6. [Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources/) *— our card · 2024 · arXiv:2403.09719*
7. [Comparing Biases and the Impact of Multilingual Training across Multiple Languages](https://aclanthology.org/2023.emnlp-main.634/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
8. [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) *— our card · 2023 · arXiv:2308.16687*
9. [HeRo: RoBERTa and Longformer Hebrew Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) *— our card · 2023 · arXiv:2304.11077*
10. [Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) *— our card · 2023 · arXiv:2309.14568*
11. [Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
12. [The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages](https://aclanthology.org/2023.emnlp-main.160/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
13. [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.mova.elamur.ai/free/en/docs/papers/acl-2022-seker-alephbert-language-model-pre-training/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Collateral facilitation in humans and language models](https://aclanthology.org/2022.conll-1.2/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
15. [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.mova.elamur.ai/free/en/docs/papers/hbo-2022-gueta-large-pre-trained-models-extra/) *— our card · 2022 · arXiv:2211.15199*
16. [Morphology Without Borders: Clause-Level Morphology](https://aclanthology.org/2022.tacl-1.83/) *— 2022 · Transactions of the Association for Computational Linguistics*
17. [AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) *— our card · 2021 · arXiv:2104.04052*
18. [Evaluating morphological typology in zero-shot cross-lingual transfer](https://aclanthology.org/2021.acl-long.244/) *— 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)*
19. [HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) *— our card · 2021 · arXiv:2102.01909*
20. [The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus](https://aclanthology.org/2021.findings-acl.324/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
21. [How Universal are Universal Dependencies? Exploiting Syntax for Multilingual Clause-level Sentiment Detection](https://aclanthology.org/2020.lrec-1.500/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
22. [Graph convolutional networks for exploring authorship hypotheses](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2019-lippincott-graph-convolutional-networks-exploring-authorship/) *— our card · 2019*
23. rajda-2022-assessment-massively-multilingual-sentiment-classifiers
24. thin-2023-abcd-team-semeval-2023-task
- [← previous Who cites «LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coleman-2024-llm-assisted-rule-based-machine/)
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