Abstract
We show that surface-level markers of pragmatic intent can be used to recognize the important sentences in text and can thereby improve the performance of text summarization systems. In particular, we focus on using automated detection of rhetorical figures-characteristic syntactic patterns of persuasive language-to provide information for an additional metric to enhance the performance of the MEAD summarizer.