We present a novel probabilistic method for partially unsupervised topic segmentation on unstructured text. Previous approaches to this problem utilize the hidden Markov model framework (HMM). The HMM treats a document as mutually independent sets of words
5.3QuantitativeResults9Figure5:Summarywords(up)andgroundtruthsummaries(down)fromtheATCsegmentin gure4