mlsanityData to 14 Oct 2026

Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective

arXiv 2509.01147 ↗First posted 1 Sep 2025cs.CLcited by 0

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Abstract (arXiv)

Cross-lingual Named Entity Recognition (CL-NER) aims to transfer knowledge from high-resource languages to low-resource languages. However, existing zero-shot CL-NER (ZCL-NER) approaches primarily focus on Latin script language (LSL), where shared linguistic features facilitate effective knowledge transfer. In contrast, for non-Latin script language (NSL), such as Chinese and Japanese, performance often degrades due to deep structural differences. To address these challenges, we propose an entity-aligned translation (EAT) approach. Leveraging large language models (LLMs), EAT employs a dual-translation strategy to align entities between NSL and English. In addition, we fine-tune LLMs using multilingual Wikipedia data to enhance the entity alignment from source to target languages.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 24 of its 51 references that are in the map. First posted on arXiv 1 Sep 2025.

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References · 24

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,330
  3. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
  4. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  5. 2024LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Modelscited by 1,464
  6. 2025Kimi k1.5: Scaling Reinforcement Learning with LLMscited by 1,210
  7. 2019How multilingual is Multilingual BERT?cited by 645
  8. 20218-bit Optimizers via Block-wise Quantizationcited by 403
  9. 2021Word Alignment by Fine-tuning Embeddings on Parallel Corporacited by 186
  10. 2023Empirical Study of Zero-Shot NER with ChatGPTcited by 60
  11. 2018Neural Cross-Lingual Named Entity Recognition with Minimal Resourcescited by 44
  12. 2020Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Languagecited by 37
12 more
  1. 2025M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineeringcited by 35
  2. 2022Frustratingly Easy Label Projection for Cross-lingual Transfercited by 33
  3. 2022Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languagescited by 28
  4. 2025TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configurationcited by 23
  5. 2021AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NERcited by 17
  6. 2021Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognitioncited by 15
  7. 2023Contextual Label Projection for Cross-Lingual Structured Predictioncited by 9
  8. 2022WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognitioncited by 7
  9. 2024The Power of Question Translation Training in Multilingual Reasoning: Broadened Scope and Deepened Insightscited by 7
  10. 2025A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignmentcited by 5
  11. 2022DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognitioncited by 3
  12. 2024Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switchingcited by 3

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  1. 2022ConNER: Consistency Training for Cross-lingual Named Entity Recognition
  2. 2022A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition
  3. 2024Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
  4. 2025FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
  5. 2021CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
  6. 2023ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition
  7. 2024Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition
  8. 2026Generative vs. Encoder Models for Multilingual NER: A Comprehensive Empirical Study on Naamapadam