So, I am specifically talking about the scenario where all your labelling functions are highly correlated and there is little or no ground truth data to come up with empirical weights for each of the labelling functions. An example is the scenario where you have the label functions: x>5, x>4.99, x>5.01 for some feature x. I am really struggling to see how Snorkel can correct for the correlation, especially given the relatively simple generative model in section 2.2 of the paper. https://arxiv.org/pdf/1711.10160.pdf