Abstract by Michael DeBuse

Personal Infomation

Presenter's Name

Michael DeBuse

Degree Level


Abstract Infomation


Computer Science

Faculty Advisor

Sean Warnick


Plot Extraction and the Assessment of Event Importance in Stories


Plot extraction is presented as a literary analysis tool different from event extraction, requiring causal relationships and assessment of the importance of events in a story text. I show a naive method of event segmentation using the mean shift algorithm as a method of determining areas of potential plot importance, discuss its shortcomings, and propose a better method. This method uses causation, where the story text is ingested in streaming fashion--starting from the beginning without needing to know the story in completion--and events are appended to a narrative-ordered graph structure where unnecessary nodes are trimmed if no causal relationship is shown with future events.