Self-Training with Task Augmentation

STraTA, or Self-Training with Task Augmentation, is an innovative self-training approach that utilizes two vital concepts to effectively leverage unlabeled data. STraTA is a form of machine learning that can help computers understand natural language. This innovative self-training approach makes use of task augmentation, which involves the synthesis of large quantities of data from unlabelled texts. Additionally, STRATA performs self-training by further fine-tuning an already strong base model c