Weakly Supervised Text Classification using Supervision Signals from a Language Model

Ziqian Zeng, Weimin Ni, Tianqing Fang +3

Solving text classification in a weakly supervised manner is important for real-world applications where human annotations are scarce. In this paper, we propose to query a masked l…