[PDF][PDF] Overview of the multilingual text detoxification task at pan 2024
Despite different countries and social platform regulations, digital abusive speech persists
as a significant challenge. One of the way to tackle abusive, or more specifically, toxic …
as a significant challenge. One of the way to tackle abusive, or more specifically, toxic …
Hate speech detection via dual contrastive learning
The fast spread of hate speech on social media impacts the Internet environment and our
society by increasing prejudice and hurting people. Detecting hate speech has aroused …
society by increasing prejudice and hurting people. Detecting hate speech has aroused …
RB_BG_MHA: A RoBERTa-Based Model with Bi-GRU and Multi-Head Attention for Chinese Offensive Language Detection in Social Media
M Xu, S Liu - Applied Sciences, 2023 - mdpi.com
Offensive language in social media affects the social experience of individuals and groups
and hurts social harmony and moral values. Therefore, in recent years, the problem of …
and hurts social harmony and moral values. Therefore, in recent years, the problem of …
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili
Hate speech is a pressing issue in modern society, with significant effects both online and
offline. Recent research in hate speech detection has primarily centered on text-based …
offline. Recent research in hate speech detection has primarily centered on text-based …
Detection System Based on Text Adversarial and Multi-Information Fusion for Inappropriate Comments in Mobile Application Reviews
Z Yu, Y Jia, Z Hong - Electronics, 2024 - mdpi.com
With the rapid development of mobile application technology, the content and forms of
comments disseminated on the internet are becoming increasingly complex. Various …
comments disseminated on the internet are becoming increasingly complex. Various …