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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

  1. Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text — 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 — our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  3. NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew — our card · 2025 · arXiv:2510.20386
  4. OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  5. Splintering Nonconcatenative Languages for Better Tokenization — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  6. MRL Parsing Without Tears: The Case of Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  7. DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew — our card · 2023 · arXiv:2308.16687
  8. Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language — 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
  9. Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
  10. Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew — our card · 2023 · arXiv:2309.14568
  11. Multilingual Sequence-to-Sequence Models for Hebrew NLP — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  12. Samsung R&D Institute Philippines at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  13. NerKor+Cars-OntoNotes++ — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  14. le-2025-massively-multilingual-instruction-following-information

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