  In this paper, we introduce the task of predicting severity of age-restricted
aspects of movie content based solely on the dialogue script. We first
investigate categorizing the ordinal severity of movies on 5 aspects: Sex,
Violence, Profanity, Substance consumption, and Frightening scenes. The problem
is handled using a siamese network-based multitask framework which concurrently
improves the interpretability of the predictions. The experimental results show
that our method outperforms the previous state-of-the-art model and provides
useful information to interpret model predictions. The proposed dataset and
source code are publicly available at our GitHub repository.
