SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support

Understand

Developing specialized dialogue systems for mental health support requires multi-turn conversation data, which has recently garnered increasing attention.

• However, gathering and releasing large-scale, real-life multi-turn conversations that could facilitate advancements in mental health support presents challenges in data privacy protection and the time and cost involved in crowdsourcing.
• To address these challenges, we introduce SMILE, a single-turn to multi-turn inclusive language expansion technique that prompts ChatGPT to rewrite public single-turn dialogues into multi-turn ones.
• Our work begins by analyzing language transformation and validating the feasibility of our proposed method.