“Zo Grof !”: A Comprehensive Corpus for Offensive and Abusive Language in Dutch
Ward Ruitenbeek, Victor Zwart, Robin Van Der Noord, Zhenja Gnezdilov, Tommaso Caselli · 2022
This paper presents a comprehensive corpus for the study of socially unacceptable language in Dutch.The corpus extends and revise an existing resource with more data and introduces a new annotation dimension for offensive language, making it a unique resource in the Dutch language panorama.Each language phenomenon (abusive and offensive language) in the corpus has been annotated with a multilayer annotation scheme modelling the explicitness and the target(s) of the abuse/offence in the message.We have conducted a new set of experiments with different classification algorithms on all annotation dimensions.Monolingual Pre-Trained Language Models prove as the best systems, obtaining a macro-average F1 of 0.828 for binary classification of offensive language, and 0.579 for the targets of offensive messages.Furthermore, the best system obtains a macro-average F1 of 0.637 for distinguishing between abusive and offensive messages.