Automatic psychological counseling requires mass of professional knowledge that can be found in online counseling forums. Motivated by this, we propose K-ESConv, a novel prompt learning based knowledge injection method for emotional support dialogue system, transferring forum knowledge to response generation. We evaluate our model on an emotional support dataset ESConv, where the model retrieves and incorporates knowledge from external professional emotional Q\&A forum. Experiment results show that the proposed method outperforms existing baselines on both automatic evaluation and human evaluation, which shows that our approach significantly improves the correlation and diversity of responses and provides more comfort and better suggestion for the seeker.

翻译：自动心理咨询需要大量专业知识，这些知识可从在线咨询论坛中获取。基于此，我们提出K-ESConv——一种基于提示学习的情感支持对话系统知识注入方法，旨在将论坛知识迁移至回复生成。我们在情感支持数据集ESConv上评估模型，该模型能从外部专业情感问答论坛中检索并融入知识。实验结果表明，所提方法在自动评估和人工评估中均优于现有基线模型，显著提升了回复的相关性和多样性，并为求助者提供了更有效的安慰与建议。