Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From None to Severe: Predicting Severity in Movie Scripts   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.

16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat