Overview of the multilingual text detoxification task at pan 2024
Аннотация
Despite different countries and social platform regulations, digital abusive speech persists as a significant challenge. One of the way to tackle abusive, or more specifically, toxic language can be automatic text detoxification—a text style transfer task (TST) of changing register of text from toxic to more non-toxic. Thus, in this shared task, we aim to obtain text detoxification models for 9 languages: English, Spanish, German, Chinese, Arabic, Hindi, Ukrainian, Russian, and Amharic. This paper presents the Multilingual Text Detoxification (TextDetox) task, the underlying datasets, the evaluation setups, the submissions from participants, and the results obtained.Warning: This paper contains rude texts that only serve as illustrative examples.
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