Large and Small models for collaborative cross-lingual data augmentation in entity relationship extraction for low-resource languages

Abstract Entity relationship extraction tasks conducted in low-resource language domains (such as the medical and military domains) have long faced significant challenges, and data augmentation (DA) is considered an effective solution for addressing this issue. Compared with monolingual DA methods,...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Journal of King Saud University: Computer and Information Sciences
المؤلفون الرئيسيون:	Yurong Wang, Min Lin, Qitu Hu, Longjie Bao, Shuangcheng Bai, Yanling Li
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Springer 2025-06-01
الموضوعات:	Collaboration of large and small models Cross-lingual data augmentation Chain-of-thought Low-resource languages Domain relation extraction
الوصول للمادة أونلاين:	https://doi.org/10.1007/s44443-025-00055-w