Deep learning has shown significant promise in common knowledge extraction tasks. However, the reputation of neural networks for being black-box learners can retard adoption in enterprise businesses.
An interactive system that feeds back results in real time is critical. A human-in-the-loop business process is superior to a completely black-box approach in several ways. Gains include greater trust in the results, higher overall accuracy, and a deeper understanding of the error modes of the learning algorithms employed.