Uncertainty-aware Self-training for Text Classification with Few Labels

27 Jun 2020Subhabrata MukherjeeAhmed Hassan Awadallah

Recent success of large-scale pre-trained language models crucially hinge on fine-tuning them on large amounts of labeled data for the downstream task, that are typically expensive to acquire. In this work, we study self-training as one of the earliest semi-supervised learning approaches to reduce the annotation bottleneck by making use of large-scale unlabeled data for the target task... (read more)

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