Mahsa Shafaei

Orcid: 0000-0001-5428-3497

According to our database1, Mahsa Shafaei authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Positive and Risky Message Assessment for Music Products.
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.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Positive and Risky Message Assessment for Music Products.
CoRR, 2023

2022
Hierarchical attention and transformers for automatic movie rating.
Expert Syst. Appl., 2022

2021
ParsiNLU: A Suite of Language Understanding Challenges for Persian.
Trans. Assoc. Comput. Linguistics, 2021

White Paper - Objectionable Online Content: What is harmful, to whom, and why.
CoRR, 2021

A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers.
CoRR, 2021

White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content.
CoRR, 2021

A Case Study of Deep Learning-Based Multi-Modal Methods for Labeling the Presence of Questionable Content in Movie Trailers.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

From None to Severe: Predicting Severity in Movie Scripts.
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.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Attending the Emotions to Detect Online Abusive Language.
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.
CoRR, 2019

Exploiting Textual, Visual, and Product Features for Predicting the Likeability of Movies.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2014
Community Structure and Information Cascade in Signed Networks.
New Gener. Comput., 2014


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