Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation

arXiv:2309.09749v3 Announce Type: replace
Abstract: NSFW (Not Safe for Work) content, in the context of a dialogue, can have severe side effects on users in open-domain dialogue systems. However, research on detecting NSFW language, especially sexually explicit content, within a dialogue context has significantly lagged behind. To address this issue, we introduce CensorChat, a dialogue monitoring dataset aimed at NSFW dialogue detection. Leveraging knowledge distillation techniques involving GPT-4 and ChatGPT, this dataset offers a cost-effective means of constructing NSFW content …

abstract arxiv context cs.cl detection dialogue distillation domain effects however knowledge language nsfw research systems text type via work