24. A computer program product comprising a computer useable medium that includes computer usable program code tangibly embodied thereon for use with tokens corresponding to terms within a document, the product including: code for evaluating each token against at least 2 different Markov models to determine respective relative probabilities that the token corresponds to the Markov models; code that, for each token, compares the relative probabilities with each other to determine which Markov model is more likely to be associated with the token; and code for identifying tokens most likely to correspond to a particular one of the Markov models, so that terms of interest within the document are identified.
25. The computer program product of claim 24 , wherein said at least two Markov models correspond to respective n-gram models, at least one of which is based on a training set of entities of interest and at least one of which is based on a training set of entities not of interest.