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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 2130 of 73 papers

TitleStatusHype
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation VectorsCode0
Detecting Offensive Language in Tweets Using Deep LearningCode0
Author Profiling for Abuse DetectionCode0
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online SpacesCode0
Pay ``Attention'' to your Context when Classifying Abusive LanguageCode0
Did you offend me? Classification of Offensive Tweets in Hinglish LanguageCode0
Challenges and frontiers in abusive content detectionCode0
Online abuse detection: the value of preprocessing and neural attention modelsCode0
Understanding Abuse: A Typology of Abusive Language Detection SubtasksCode0
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