一种交互式事件常识知识的获取方法

赋予机器常识知识是使机器具有真正智能的必备条件之一,而获得这些常识一直是人工智能研究的一个重要课题。该文提出了一种通过交互的方式来引导知识贡献者给出关于事件的常识知识的方法。方法获取过程是一个机器与贡献者的交互过程: 机器动态地生成问题,对知识贡献者进行提问;知识贡献者通过回答问题给出常识知识。交互过程通过包含提示信息的提问问题对知识贡献者进行提示,运用七种类型问题层层递进地引导知识贡献者思考,以此唤醒他们大脑中的常识知识;通过动态变化的问题改善知识贡献者贡献常识知识过程的趣味性。同时,该文还引入可接受性和有效性两个定量标准评价提问问题,用于进一步改善交互过程。实验结果表明,知识贡献者运用此方法给出的知识量增加了451.61%,同时知识的正确率也达到了92.5%。

An Interactive Method for Acquiring Event-Based Commonsense Knowledge

A large-scale commonsense knowledge is indispensible for intelligent machine,and commonsense knowledge acquisition has always been an important research area of artificial intelligence. This paper presents an interactive method to guide the contributors to give event-based commonsense knowledge. The process of knowledge acquisition is interactive: machine dynamically generates questions to a contributor,and the human presents commonsense knowledge by his answeres. In addition to the prompt information,seven types of questions are presented in a progressive order to guide the knowledge contributors to think,which also brings more interest to the contributing process. The results show that the interactive method increases the number of knowledge by 451.61% with accuracy of 92.5%.