Movie Script Summarization as Graph-based Scene Extraction

In this talk I will introduce the task of movie script summarization.
and argue that it could usefully enhance script browsing, give readers
a rough idea of the script's plotline, and speed up reading time. We
formalize the process of generating a shorter version of a screenplay
as the task of finding an optimal chain of scenes. We develop a
graph-based model that selects a chain by jointly optimizing its
logical progression, diversity, and importance.  Human evaluation
based on a question-answering task shows that our model produces
summaries which are more informative compared to competitive
baselines.