论文标题
希望我能感受到您的感觉：一种善解人意反应的神经方法
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
论文作者
论文摘要
表达同理心在日常对话中很重要，并且探索同情如何在自动响应产生中至关重要。以前的大多数方法仅考虑影响同理心的一个因素。但是，实际上，同理心产生和表达是一个非常复杂和动态的心理过程。听众需要找出引起说话者情绪的事件（情感导致提取），将事件投射到某种经验（知识扩展），并以最合适的方式表达同理心（交流机制）。为此，我们提出了一种新颖的方法，该方法整合了三个组成部分 - 情感原因，知识图和沟通机制的产生。基准数据集的实验结果证明了我们方法的有效性，并表明合并关键组成部分会产生更有信息和同情心的响应。
Expressing empathy is important in everyday conversations, and exploring how empathy arises is crucial in automatic response generation. Most previous approaches consider only a single factor that affects empathy. However, in practice, empathy generation and expression is a very complex and dynamic psychological process. A listener needs to find out events which cause a speaker's emotions (emotion cause extraction), project the events into some experience (knowledge extension), and express empathy in the most appropriate way (communication mechanism). To this end, we propose a novel approach, which integrates the three components - emotion cause, knowledge graph, and communication mechanism for empathetic response generation. Experimental results on the benchmark dataset demonstrate the effectiveness of our method and show that incorporating the key components generates more informative and empathetic responses.
