April 30, 2024, 4:50 a.m. | Daryna Dementieva, Valeriia Khylenko, Nikolay Babakov, Georg Groh

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.17841v1 Announce Type: new
Abstract: The task of toxicity detection is still a relevant task, especially in the context of safe and fair LMs development. Nevertheless, labeled binary toxicity classification corpora are not available for all languages, which is understandable given the resource-intensive nature of the annotation process. Ukrainian, in particular, is among the languages lacking such resources. To our knowledge, there has been no existing toxicity classification corpus in Ukrainian. In this study, we aim to fill this gap …

abstract annotation arxiv binary classification context cs.cl detection development fair languages lms nature process safe toxicity toxicity detection type

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