On the definition of toxicity in NLP

Sergey Berezin; Reza Farahbakhsh; Noel Crespi

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arXiv · 2310.02357

On the definition of toxicity in NLP

Sergey Berezin·Reza Farahbakhsh·Noel Crespi

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Abstract

The fundamental problem in toxicity detection task lies in the fact that the toxicity is ill-defined. This causes us to rely on subjective and vague data in models' training, which results in non-robust and non-accurate results: garbage in - garbage out. This work suggests a new, stress-level-based definition of toxicity designed to be objective and context-aware. On par with it, we also describe possible ways of applying this new definition to dataset creation and model training.

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Sergey Berezin, Reza Farahbakhsh, Noel Crespi. 2023-10-03. On the definition of toxicity in NLP. https://arxiv.org/abs/2310.02357

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