Abstract For short text classification, insufficient labeled data, data sparsity, and imbalanced classification have become three major challenges. this, we proposed multiple weak supervision, which can label unlabeled automatically. Different from prior work, the method generate probabilistic labels through conditional independent model. What’s more, experiments were conducted to verify effect...
