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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

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5 papers · 1 filter

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.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…