2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification
COLING 2022main
Multi-label Text Classification (MLTC) is the task of categorizing documents into one or more topics. Considering the large volumes of data and varying domains of such tasks, fully supervised learning requires manually fully annotated datasets which is costly and time-consuming. In this paper, we pr…