Dive into Snorkel: Weak-Superversion on German Texts - inovex Blog

How do we proceed if we have almost no labeled data for a machine learning model? One answer may be: combining all the knowledge we have (labeled data, distant supervision, subject matter experts) in one framework to get to the best of each world. A trending framework to apply this data programming pattern is Snorkel. In a nutshell, instead of relying on ground truths, snorkel computes probabilistic labels that are noisy and not perfectly accurate. The hypothesis is that large but noisy datasets outperform small hand-labeled datasets.