In the work we present below, we introduce a new HMM approach to extractive summarization which addresses some of the deficiencies of work done to date.
the classifiers used in these methods implicitly assume that the posterior probability for the inclusion of a sentence in the summary is only dependent on the observations for that sentence, and is not affected by previous decisions.