Before revision:  Hence, our framework can encompass a wide range of training methods for improving weak supervision, ranging from methods that only look at the correlations of rules and output classes (independently of the machine learning model trained with the resulting labels), to those methods that harness the interplay of neural networks and weakly labeled data  .
After revision:  Hence, our framework can encompass a wide range of training methods for improving weak supervision, ranging from methods that only look at the correlations of rules and output classes (independently of the machine learning model trained with the resulting labels), to those that harness the interplay of neural networks and weakly labeled data .