activity
20192024
most citedRating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies

8 citations · 19 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention Model

Elaheh Baharlouei, Mahsa Shafaei, Yigeng Zhang +2

We address the challenge of detecting questionable content in online media, specifically the subcategory of comic mischief. This type of content combines elements such as violence,…

cs.CL2023★ 1 cited

Positive and Risky Message Assessment for Music Products

Yigeng Zhang, Mahsa Shafaei, Fabio A. González +1

In this work, we introduce a pioneering research challenge: evaluating positive and potentially harmful messages within music products. We initiate by setting a multi-faceted, mult…

cs.CL2021

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…

cs.CY2021

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…

cs.LG2021★ 3 cited

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…

cs.CL2020★ 7 cited

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…

cs.CL2019

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…

cs.CL2019★ 8 cited

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…