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Author

Rebwar M. Nabi

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2 papers indexed here

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Sep 2026

Towards robust stance detection: data augmentation, model fine-tuning, and empirical benchmarking

Findings show that class-balanced training, evaluated under a leakage-free protocol, can close a substantial portion of the current performance gap and provide the first competitive baseline for stance detection in Sorani Kurdish news.

Hawar Hussein Yaba, Rebwar M. Nabi, R. M. Nabi · 0 citations
Open access Aug 2026

The First Comprehensive Study of Stance Detection Modeling for the Sorani Kurdish Language

Stance detection has become a fundamental task in natural language processing (NLP), yet it remains under-explored for low-resource languages such as Sorani Kurdish. Building on the previously released Bochun dataset, the present work focuses exclusively on the comprehensive evaluation of stance detection models and pr...

P. S. Rostam, Rebwar M. Nabi · 0 citations

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