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Bridging the Domain Gap for Stance Detection for the Zulu language
This allows us to rapidly achieve similar results for stance detection for the Zulu language, the target language in this work, as are found for English.
What augmentations are sensitive to hyper-parameters and why?
We apply augmentations to our dataset to enhance the quality of our predictions and make our final models more resilient to noisy data and domain drifts.
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