论文标题
不要失去自己！通过明确的自我意识来产生善解人意的响应
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness
论文作者
论文摘要
作为实现人类聊天机器人的关键步骤，善解人意的响应产生越来越多。以前的尝试是不完整的，并且不足以引起同理心，因为它们只专注于同理心的最初方面，可以通过其他意识自动模仿用户的感受和思想。但是，他们忽略了维护和考虑系统的看法，这是实现所谓自我意识的同理心的关键过程。为此，我们建议使用明确的自我意识（EMPSOA）产生善解人意的反应。具体而言，设计了三个阶段，即自我差异化，自我调制和自我产生，旨在清楚地维护，调节和注入自我意识的信息中，这是善解人意的响应产生过程。基准数据集上的自动评估和人类评估都证明了Empsoa的优越性，以产生更多的慈善反应。
As a critical step to achieve human-like chatbots, empathetic response generation has attained increasing interests. Previous attempts are incomplete and not sufficient enough to elicit empathy because they only focus on the initial aspect of empathy to automatically mimic the feelings and thoughts of the user via other-awareness. However, they ignore to maintain and take the own views of the system into account, which is a crucial process to achieve the empathy called self-other awareness. To this end, we propose to generate Empathetic response with explicit Self-Other Awareness (EmpSOA). Specifically, three stages, self-other differentiation, self-other modulation and self-other generation, are devised to clearly maintain, regulate and inject the self-other aware information into the process of empathetic response generation. Both automatic and human evaluations on the benchmark dataset demonstrate the superiority of EmpSOA to generate more empathetic responses.
