2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
EMNLP 2022finding
To obtain a large amount of training labels inexpensively, researchers have recently adopted the weak supervision (WS) paradigm, which leverages labeling rules to synthesize training labels rather than using individual annotations to achieve competitive results for natural language processing (NLP)…