Automatic text summarization is a research area that, given a written document, attempts to reduce it in size in a way that preserves the important information from the original document. Most research in this area to date has revolved around the genres of texts that are characterized by rather rigid structure: newspaper articles, legal and medical documents and a few others. This presentation describes a system that produces extractive summaries of short works of literary fiction. The ultimate purpose of produced summaries is to help a reader determine whether she would be interested in reading a particular story. To this end, the summary aims to provide a reader with an idea about the setting of a story (such as characters, time and place) without revealing the plot. The approach discussed in this presentation relies heavily on the notion of grammatical aspect in order to identify sentences that it deems to be summary-worthy.