We demonstrate this point by utilizing content models to select appropriate sentence orderings: we simply use a content model trained on documents from the domain of interest, selecting the ordering among all the presented candidates that the content model assigns the highest probability to.
to address the first question, we compare summaries created by our system against the "lead" baseline, which extracts the first sentences of the original text -despite its simplicity, the results from the annual Document Understanding Conference (DUC) evaluation suggest that most single-document summarization systems cannot beat this baseline.