For supervised methods, summarization is often regarded as a classification task or a sequence labeling task at sentence level, and many supervised learning algorithms have been investigated including Hidden Markov Models (Conroy and O'leary, 2001), Support Vector Regression (You et al., 2011), Factor Graph Model (Yang et al., 2011), etc.
such a supervised learning paradigm often requires a large amount of labeled data, which are not available in most cases.