the case in medicine or finance or something like that so the promise of semi-supervised learning is always existed for the second second scenario but there have been very good results in the the last few months or like last year or so in both these scenarios which is the noisiest student model really helping in the scenario where you have a lot of legal data but you have a lot more and label data but then unsupervised data augmentation or mix-match is really very good at the low Reiter regime where you have unlabeled data but very little