3 citations · 3 across the 2 of their papers we have counts for
6 papers
From None to Severe: Predicting Severity in Movie Scripts
Yigeng Zhang, Mahsa Shafaei, Fabio Gonzalez +1
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 or…
White Paper -- Objectionable Online Content: What is harmful, to whom, and why
Thamar Solorio, Mahsa Shafaei, Christos Smailis +5
This White Paper summarizes the authors' discussion regarding objectionable content for the University of Houston (UH) Research Team to outline a strategy for building an extensive…
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
Mahsa Shafaei, Christos Smailis, Ioannis A. Kakadiaris +1
In this work, we explore different approaches to combine modalities for the problem of automated age-suitability rating of movie trailers. First, we introduce a new dataset contain…
ParsiNLU: A Suite of Language Understanding Challenges for Persian
Daniel Khashabi, Arman Cohan, Siamak Shakeri +22
Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich l…
Attending the Emotions to Detect Online Abusive Language
Niloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei +2
In recent years, abusive behavior has become a serious issue in online social networks. In this paper, we present a new corpus from a semi-anonymous social media platform, which co…
Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar +1
The film culture has grown tremendously in recent years. The large number of streaming services put films as one of the most convenient forms of entertainment in today's world. Fil…