An Introduction to Conditional Random Fields for Relational Learning

written by Charles Sutton Andrew McCallum A conditional random field is simply a conditional distribution p(y|x) with an associated graphical structure. Because the model is conditional, dependencies among the input variables x do not need to be explicitly represented, affording the use of rich, global features of the input.