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.
翻译:Emora大学开发的社交聊天室Emora, 旨在将这种以经验为重点的互动纳入当前对话AI领域。 信息共享主题处理者的传统方法平衡兼顾,侧重于Emora提供的意见型交流,并开发新的对话能力,支持对话,包括合作理解和学习伙伴生活经验。 我们提供了一个精心设计的对话系统,利用高度直观的自然语言模板、强有力的意图分类和本体资源,向每个用户提供有吸引力和有趣的对话经验。