BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Multi-Label Text Classification

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort. However, most […]

The post .