Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection Using Meta Learning

Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection Using Meta Learning

Automatic detection of abusive online content such as hate speech, offensive language, threats, etc. has become prevalent in social media, with multiple efforts dedicated to detecting this phenomenon in English. However, detecting hatred and abuse in low-resource languages is a non-trivial challenge...

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Bibliographic Details
Main Authors: Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Hate speech
offensive language
few-shot learning
meta learning
transfer learning
XLM-RoBERTa
Online Access:https://ieeexplore.ieee.org/document/9696324/

Internet

https://ieeexplore.ieee.org/document/9696324/

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