9 citations · 13 across the 6 of their papers we have counts for
6 papers · 1 filter
Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts
Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi
Code switching, particularly between Korean and English, has become a defining feature of modern K-pop, reflecting both aesthetic choices and global market strategies. This paper i…
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning
Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi
Online abusive content detection, particularly in low-resource settings and within the audio modality, remains underexplored. We investigate the potential of pre-trained audio repr…
No offence, Bert -- I insult only humans! Multiple addressees sentence-level attack on toxicity detection neural network
Sergey Berezin, Reza Farahbakhsh, Noel Crespi
We introduce a simple yet efficient sentence-level attack on black-box toxicity detector models. By adding several positive words or sentences to the end of a hateful message, we a…
On the definition of toxicity in NLP
Sergey Berezin, Reza Farahbakhsh, Noel Crespi
The fundamental problem in toxicity detection task lies in the fact that the toxicity is ill-defined. This causes us to rely on subjective and vague data in models' training, which…
Hate Speech and Offensive Language Detection using an Emotion-aware Shared Encoder
Khouloud Mnassri, Praboda Rajapaksha, Reza Farahbakhsh +1
The rise of emergence of social media platforms has fundamentally altered how people communicate, and among the results of these developments is an increase in online use of abusiv…
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots
Shaokang Cai, Dezhi Han, Zibin Zheng +2
The rapid development of artificial intelligence (AI) technology has enabled large-scale AI applications to land in the market and practice. However, while AI technology has brough…