From None to Severe: Predicting Severity in Movie Scripts
Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio · 2021
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 1 .