论文标题
Emora：一个好奇的社交聊天机器人，关心您
Emora: An Inquisitive Social Chatbot Who Cares For You
论文作者
论文摘要
受埃默里大学（Emory University）开发的社交聊天机器人Emora在人类人类对话中的经验共享的巨大经验共享的研究的启发，旨在将这种以经验为中心的互动带入当前的对话AI领域。信息共享主题处理程序的传统方法是平衡的，重点是Emora提供的面向意见的交流，并开发了新的对话能力，这些能力支持对话，包括对伴侣生活经历的协作理解和学习过程。我们提出了一个精心策划的对话系统，该系统利用高度表现力的自然语言模板，强大的意图分类和本体资源来为每个用户提供引人入胜且有趣的对话体验。
Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such experience-focused interaction to the current field of conversational AI. The traditional approach of information-sharing topic handlers is balanced with a focus on opinion-oriented exchanges that Emora delivers, and new conversational abilities are developed that support dialogues that consist of a collaborative understanding and learning process of the partner's life experiences. We present a curated dialogue system that leverages highly expressive natural language templates, powerful intent classification, and ontology resources to provide an engaging and interesting conversational experience to every user.
