Unsupervised Learning

Training of statistical models and AI for an NLP task using unannotated data. For example, unsupervised training used on existing entity extraction models can increase the accuracy of the model for a particular domain if it is close enough to the domain that the original model was trained on. (See also Supervised Learning.)