Mahsa Shafaei

According to our database, Mahsa Shafaei authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Positive and Risky Message Assessment for Music Products.

Yigeng Zhang, Mahsa Shafaei, Fabio Gonzalez, Thamar Solorio

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Elaheh Baharlouei, Mahsa Shafaei, Yigeng Zhang, Hugo Jair Escalante, Thamar Solorio

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Positive and Risky Message Assessment for Music Products.

Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio

CoRR, 2023

2022

Hierarchical attention and transformers for automatic movie rating.

L. Fernando Pardo-Sixtos, Adrián Pastor López-Monroy, Mahsa Shafaei, Thamar Solorio

Expert Syst. Appl., 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

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

Trans. Assoc. Comput. Linguistics, 2021

White Paper - Objectionable Online Content: What is harmful, to whom, and why.

Thamar Solorio, Mahsa Shafaei, Christos Smailis, Brad J. Bushman, Douglas A. Gentile, Erica Scharrer, Laura Stockdale, Ioannis A. Kakadiaris

CoRR, 2021

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, Thamar Solorio

CoRR, 2021

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

Thamar Solorio, Mahsa Shafaei, Christos Smailis, Mona T. Diab, Theodore Giannakopoulos, Heng Ji, Yang Liu, Rada Mihalcea, Smaranda Muresan, Ioannis A. Kakadiaris

CoRR, 2021

A Case Study of Deep Learning-Based Multi-Modal Methods for Labeling the Presence of Questionable Content in Movie Trailers.

Mahsa Shafaei, Christos Smailis, Ioannis A. Kakadiaris, Thamar Solorio

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

From None to Severe: Predicting Severity in Movie Scripts.

Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Age Suitability Rating: Predicting the MPAA Rating Based on Movie Dialogues.

Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Attending the Emotions to Detect Online Abusive Language.

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

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019

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

Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio

CoRR, 2019

Exploiting Textual, Visual, and Product Features for Predicting the Likeability of Movies.

Mahsa Shafaei, Adrián Pastor López-Monroy, Thamar Solorio

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2014

Community Structure and Information Cascade in Signed Networks.

Mahsa Shafaei, Mahdi Jalili

New Gener. Comput., 2014