We propose novel AI-empowered chat bots for learning as conversation where a
user does not read a passage but gains information and knowledge through
conversation with a teacher bot. Our information-acquisition-oriented dialogue
system employs a novel adaptation of reinforced self-play so that the system
can be transferred to various domains without in-domain dialogue data, and can
carry out conversations both informative and attentive to users. Our extensive
subjective and objective evaluations on three large public data corpora
demonstrate the effectiveness of our system to deliver knowledge-intensive and
attentive conversations and help end users substantially gain knowledge without
reading passages. Our code and datasets are publicly available for follow-up
research.

我们提出了一种新颖的基于 AI 的聊天机器人学习模式，用户通过与教师机器人的对话获取信息和知识。我们的系统使用了一种新型加强自我对话模式，在不同领域之间实现知识传递和关注用户的对话。我们在三个大型公共数据语料库上进行了广泛的主客观评估，证明了我们的系统在传递知识和关注用户方面的有效性，帮助用户在不阅读文章的情况下大大提高知识水平。