Experiences with SOTA Semi-Supervised Learning NLP Algorithms on different public datasets

How do we deal with lesser amount of training data in NLP? Semi-supervised learning — to our rescue!

Semi Supervised Learning is an actively researched field in the machine learning community. It is typically used in improving the generalizability of a supervised learning problem (i.e. training a model based on provided input and ground-truth or actual output value per observation) by leveraging high volumes of unlabeled data (i.e. observations for which inputs or features are available …

algorithms bert datasets nlp public semi-supervised semi-supervised learning sota supervised learning