The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …

The widespread of offensive content online such as hate speech poses a growing societal
problem. AI tools are necessary for supporting the moderation process at online platforms …

Offensive language in social media affects the social experience of individuals and groups
and hurts social harmony and moral values. Therefore, in recent years, the problem of …

Large language models (LLMs) perform very well in several natural language processing
tasks but raise explainability challenges. In this paper, we examine the effect of random …

Les grands modèles de langage sont performants en traitement automatique du langage
mais posent des défis d'explicabilité. Nous examinons l'effet des éléments aléatoires de leur …

We investigate the potential of rule-based systems for the task of offensive text detection in
English and German, and demonstrate their effectiveness in low-resource settings, as an …

This work examines the explainability of natural language processing on the example of
hate speech and offensive content detection. After an introduction to the hate speech task is …