Learning to do Structured Inference in Natural Language Processing
Many tasks in natural language processing, computer vision, and computational biology involve predicting structured outputs. Researchers are increasingly applying deep representation learning to these problems, but the structured component of these approaches is usually quite simplistic. For example, neural machine translation systems use unstructured training of local factors followed by …