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.
翻译:我们建议新颖的AI-Empowed聊天机作为对话来学习,用户不阅读一个通道,而是通过与教师机器人的对话来获得信息和知识。 我们的信息-购置导向对话系统采用了一种强化自我游戏的新型改造,这样这个系统就可以在没有内部对话数据的情况下转移到不同领域,并且可以进行信息化和关注用户的对话。 我们对三大公共数据公司进行的广泛主观和客观评价表明,我们系统在提供知识密集和专注的谈话以及帮助终端用户大量获得知识而不阅读段落方面是有效的。 我们的代码和数据集可以公开供后续研究使用。