I review the code located in train_sts_qqp_crossdomain.py
The idea is to use cross_encoder's higher performance.
So for unlabeled data, is it feasible to combine multi sample methods with cross_encoder's prediction and combine them with snorkel:
https://github.com/snorkel-team/snorkel
?
Do you have some advice for the design of label function about this labeling problem?
I review the code located in train_sts_qqp_crossdomain.py The idea is to use cross_encoder's higher performance. So for unlabeled data, is it feasible to combine multi sample methods with cross_encoder's prediction and combine them with snorkel: https://github.com/snorkel-team/snorkel ? Do you have some advice for the design of label function about this labeling problem?