Multi-view Story Characterization from Movie Plot Synopses and Reviews



This paper considers the problem of characterizing stories by inferring properties like theme and style using written synopses and reviews of movies. We experiment with a multi-label dataset of movie synopses and a tagset representing various attributes of stories (e.g., genre, events). Our proposed multi-view model encodes the synopses and reviews using hierarchical attention and shows improvement over methods that only use synopses. Finally, we demonstrate how we can take advantage of such a model to extract a complementary set of story-attributes from reviews without any direct supervision. 



PaperSource Code | Dataset

For any query, please contact the first author  skar3 AT uh DOT edu.