Асель Сейтказиевна Ахметова

BENCHMARKING DEEP LEARNING MODELS FOR FEW-SHOT CLASSIFICATION OF KAZAKH NEWS TEXTS UNDER LIMITED ANNOTATION

Deep learning methods and transformer architectures have fundamentally reshaped the field of natural language processing; however, these advancements remain unevenly distributed. While high-resource languages like English benefit from large-scale benchmarks, robust text classification for low-resource languages, such a...