---
title: "Who cites Neural Modeling for Named Entities and…"
description: "The papers of the Elamur Research library that cite «Neural Modeling for Named Entities and Morphology (NEMO2)», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/tacl-2021-bareket-neural-modeling-named-entities-morphology/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Modeling for Named Entities and Morphology…](https://md.research.elamur.ai/free/en/papers/tacl-2021-bareket-neural-modeling-named-entities-morphology/) / cited by

# Who cites «Neural Modeling for Named Entities and Morphology (NEMO2)»

14 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/tacl-2021-bareket-neural-modeling-named-entities-morphology/)

1. [Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text](https://md.research.elamur.ai/free/en/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) *— our card · 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [HalleluBERT: Let Every Token That Has Meaning Bear Its Weight](https://md.research.elamur.ai/free/en/papers/lingbulk-2026-schmitt-hallelubert-let-every-token-that/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Massively Multilingual Instruction-Following Information Extraction](https://aclanthology.org/2025.findings-acl.182/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
4. [NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) *— our card · 2025 · arXiv:2510.20386*
5. [OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages](https://aclanthology.org/2025.emnlp-main.1708/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
6. [Splintering Nonconcatenative Languages for Better Tokenization](https://aclanthology.org/2025.findings-acl.1151/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
7. [MRL Parsing Without Tears: The Case of Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
8. [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) *— our card · 2023 · arXiv:2308.16687*
9. [Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language](https://aclanthology.org/2023.law-1.26/) *— 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
10. [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) *— our card · 2023 · arXiv:2311.00658*
11. [Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) *— our card · 2023 · arXiv:2309.14568*
12. [Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
13. [Samsung R&D Institute Philippines at WMT 2023](https://aclanthology.org/2023.wmt-1.6/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
14. [NerKor+Cars-OntoNotes++](https://aclanthology.org/2022.lrec-1.203/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*