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Abuse Detection

Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media platforms (Source: https://arxiv.org/abs/1802.00385).

Papers

Showing 6170 of 73 papers

TitleStatusHype
Context-Aware Attention for Understanding Twitter Abuse0
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages0
Neural Character-based Composition Models for Abuse Detection0
Comparative Studies of Detecting Abusive Language on TwitterCode1
Author Profiling for Abuse DetectionCode0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets0
A Unified Deep Learning Architecture for Abuse Detection0
Detecting Offensive Language in Tweets Using Deep LearningCode0
Graph-based Features for Automatic Online Abuse Detection0
One-step and Two-step Classification for Abusive Language Detection on TwitterCode1
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