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From None to Severe: Predicting Severity in Movie Scripts


Oct 03, 2021
Yigeng Zhang, Mahsa Shafaei, Fabio Gonzalez, Thamar Solorio

* Accepted at Findings of EMNLP 2021 

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A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers


Jan 26, 2021
Mahsa Shafaei, Christos Smailis, Ioannis A. Kakadiaris, Thamar Solorio


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White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content


Jan 25, 2021
Thamar Solorio, Mahsa Shafaei, Christos Smailis, Mona Diab, Theodore Giannakopoulos, Heng Ji, Yang Liu, Rada Mihalcea, Smaranda Muresan, Ioannis Kakadiaris


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ParsiNLU: A Suite of Language Understanding Challenges for Persian


Dec 11, 2020
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh

* (work in progress) 

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Attending the Emotions to Detect Online Abusive Language


Sep 06, 2019
Niloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei, Sudipta Kar, Thamar Solorio


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Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies


Aug 22, 2019
Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio


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