We build a regression model using sentence scores as output and selected salient features as input variables described below: We compile our training dataset using sentences from different document clusters, which do not necessarily share vocabularies.
(III) Other Features (OF): Term frequency of sentences such as SUMBASIC are proven to be good predictors in sentence scoring (Nenkova and Vanderwende, 2005).