A. Korotenko, R. Kyslyi
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Yaryna Petruniv, I. Makogon, R. Kyslyi
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Review
UAReviews is introduced, a multi-task Ukrainian-language dataset for emotion and intent classification comprising 11,580 annotated texts and established baselines using single-task and multi-task fine-tuned XLM-RoBERTa models and analyzed emotion to intent correlation.
R. Kyslyi, I. Pysmennyi, Denys Mykhailov
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This work combines vocabulary surgery for tokenizer adaptation without full retraining, cross-lingual transfer of quality classifiers via translation, enabling filtering without target-language annotations, and generation of instruction data through translation, task conversion, and targeted synthesis.
Yurii Paniv, Bohdan Didenko, Mykola Haltiuk et al.
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A. Orlovskyi, Zakhar Guzii, Bohdan Onyshchenko et al.
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