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To minimise overly favourable evaluation, we examine learning on a long-tailed, low-resource, multi-label text classification dataset with noisy, highly sparse labels and many rare concepts.
To minimise overly favourable evaluation, we examine learning on a long-tailed, low-resource, multi-label text classification scenario with noisy, highly sparse labels and many rare concepts.