Search Results for author:
Found 11 papers, 4 papers with code
A Case Study of Deep Learning-Based Multi-Modal Methods for Labeling the Presence of Questionable Content in Movie Trailers
In this work, we explore different approaches to combine modalities for the problem of automated age-suitability rating of movie trailers.
Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention Model
To tackle this problem, we propose a novel end-to-end multimodal system for the task of comic mischief detection.
Positive and Risky Message Assessment for Music Products
In this work, we introduce a pioneering research challenge: evaluating positive and potentially harmful messages within music products.
From None to Severe: Predicting Severity in Movie Scripts
In this paper, we introduce the task of predicting severity of age-restricted aspects of movie content based solely on the dialogue script.
White Paper - Creating a Repository of Objectionable Online Content: Addressing Undesirable Biases and Ethical Considerations
This white paper summarizes the authors' structured brainstorming regarding ethical considerations for creating an extensive repository of online content labeled with tags that describe potentially questionable content for young viewers.
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
In this work, we explore different approaches to combine modalities for the problem of automated age-suitability rating of movie trailers.
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content
This white paper presents a summary of the discussions regarding critical considerations to develop an extensive repository of online videos annotated with labels indicating questionable content.
ParsiNLU: A Suite of Language Understanding Challenges for Persian
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 languages like English.
Age Suitability Rating: Predicting the MPAA Rating Based on Movie Dialogues
Movies help us learn and inspire societal change.
Attending the Emotions to Detect Online Abusive Language
We experiment with this model on our dataset and later present the analysis.
Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
In this paper, our goal is to predict the suitability of the movie content for children and young adults based on scripts.
