Dialogue Safety Prediction

Dialogue Safety Prediction is a crucial sub-task in the field of Natural Language Processing, aimed at evaluating the safety and potential risks within conversational contexts. This task involves analyzing the content of conversations to identify inappropriate statements, sensitive information, and harmful behaviors, ensuring a healthy and safe dialogue environment. Its objective is to provide real-time warning and intervention mechanisms to prevent the spread of negative impacts. In application scenarios such as social platforms, online education, and customer service, Dialogue Safety Prediction holds significant value, effectively enhancing user experience and platform credibility.