I think the devil is in the details. You can use weak supervision to sample from a particular distribution and make your labelling more efficient.

It also works really well in pharma where you can build and apply ontologies for your weak supervision. In this case annotation would still be hard and required but your annotations would also be structured and adapted for later use in the ontology at the cost of slower annotation.