Joint inference for natural language processing
Andrew McCallum · 2009
In recent decades, researchers in natural language processing have made great progress on well-defined subproblems such as part-of-speech tagging, phrase chunking, syntactic parsing, named-entity recognition, coreference and semantic-role labeling. Better models, features, and learning algorithms have allowed systems to perform many of these tasks with 90% accuracy or better. However, success in integrated, end-to-end natural language understanding remains elusive.