用于情感支持对话的知识增强混合主导对话系统
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
AI总结：
研究混合主导情感支持对话问题，提出知识增强框架KEMI，通过检索心理健康知识图谱生成混合主导回复，在两个数据集上验证了其优越性。
摘要：
与共情对话不同，情感支持对话（ESC）系统不仅需要表达共情以安抚求助者，还要在对话中主动协助探索和解决他们的问题。在本研究中，我们探讨了混合主导ESC问题，其中用户和系统均可主导对话。具体而言，我们针对混合主导ESC系统进行了新颖的分析，采用定制设计的模式，将话语按说话者角色和主导类型划分为不同类型。我们提出了四个情感支持指标来评估混合主导交互。分析揭示了构建混合主导ESC系统的必要性与挑战。鉴于此，我们提出了一种知识增强混合主导框架（KEMI），该框架从大规模心理健康知识图谱中检索真实案例知识，以生成混合主导回复。在两个ESC数据集上的实验结果表明，KEMI在内容保留评估及混合主导相关分析中均表现出优越性。
英文摘要：
Unlike empathetic dialogues, the system in emotional support conversations (ESC) is expected to not only convey empathy for comforting the help-seeker, but also proactively assist in exploring and addressing their problems during the conversation. In this work, we study the problem of mixed-initiative ESC where the user and system can both take the initiative in leading the conversation. Specifically, we conduct a novel analysis on mixed-initiative ESC systems with a tailor-designed schema that divides utterances into different types with speaker roles and initiative types. Four emotional support metrics are proposed to evaluate the mixed-initiative interactions. The analysis reveals the necessity and challenges of building mixed-initiative ESC systems. In the light of this, we propose a knowledge-enhanced mixed-initiative framework (KEMI) for ESC, which retrieves actual case knowledge from a large-scale mental health knowledge graph for generating mixed-initiative responses. Experimental results on two ESC datasets show the superiority of KEMI in both content-preserving evaluation and mixed initiative related analyses.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
