Toxic Language

AbstractBiased associations have been a challenge in the development of classifiers for detecting toxic language, hindering both fairness and accuracy. As potential solutions, we investigate recently introduced debiasing methods for …...

Traditional toxicity detection models have fo- cused on the single utterance level without deeper understanding of context. We introduce CONDA, a new dataset for in-game toxic lan- guage detection enabling …...

AbstractWith the ever-increasing availability of digital information, toxic content is also on the rise. Therefore, the detection of this type of language is of paramount importance. We tackle this problem …...

AbstractOne of the main challenges open-domain end-to-end dialogue systems, or chatbots, face is the prevalence of unsafe behavior, such as toxic languages and harmful suggestions. However, existing dialogue datasets do …...