Transfer Learning. Transfer learning is a powerful tool inspired by the psychology of human learning that is widely utilized in NLP and machine learning. A detailed description of the applications and theory of transfer learning is available in reference . In the same way that humans improve learning by using analogy, so too can deep learning frameworks improve performance by first being trained on a secondary task (perhaps with a larger dataset) that utilizes analogous mechanics to the primary task. While tasks may not be identical in scope, analogous skills can be applied in different contexts to accelerate learning.