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Multilevel Hate Speech Classification Based on Multilingual Case-Law
Monica Palmirani, Chiara Catizone, Giulia Venditti, Salvatore Sapienza
317 - 322
10.3233/FAIA230981
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 379: Legal Knowledge and Information Systems
Abstract

This paper presents classification tools to detect hate speech topics using NLP tools in four different languages (Italian, Spanish, Germany, English) using the selected case-law from national and international jurisdiction. The research is conducted inside the FAST-LISA European project with the aim to classify the hate speech in online public debate.

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Creative Commons License