We observe that SceneSum summaries are overall more informative compared to those created by the baselines.
examples of the features we used for the classification task include the barycenter of a character (i.e., the sum of its distance to all other characters), PageRank (Page et al., 1999), an eigenvectorbased centrality measure, absolute/relative interaction weight (the sum of all interactions a character is involved in, divided by the sum of all interactions in the network), absolute/relative number of sentences uttered by a character, number of times a character is described by other characters (e.g., He is a monster or She is nice), number of times a character talks about other characters, and type-tokenratio of sentences uttered by the character (i.e., rate of unique words in a character's speech).