Explaining Cyberbullying Trait Detection Through High Accuracy Transformer Ensemble
Author:
Affiliation:
1. George Mason University,Department of Computational and Data Sciences,Fairfax,Virginia,United States
2. George Mason University,Department of Mathematical Sciences,Fairfax,Virginia,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10194967/10194965/10195080.pdf?arnumber=10195080
Reference10 articles.
1. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing;he,2021
2. Performance analysis of transformer-based architectures and their ensembles to detect trait-based cyberbullying
3. DeBERTa: Decoding-Enhanced BERT with Disentangled Attention;he;International Conference on Learning Representations Virtual,2021
4. Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms;argwaral;ECIR 2018,2018
5. Teens and Cyberbullying 2022,2022
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25
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