One of the main weaknesses of current chatbots or dialogue systems is that they do not learn online during conversations after they are deployed. This is a major loss of opportunity. Clearly, each human user has a great deal of knowledge about the world that may be useful to others. If a chatbot can learn from their users during chatting, it will greatly expand its knowledge base and serve its users better. This paper proposes to build such a learning capability in a rule-based chatbot so that it can continuously acquire new knowledge in its chatting with users. This work is useful because many real-life deployed chatbots are rule-based.

中文翻译：

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基于规则的对话系统中的终身知识学习

当前聊天机器人或对话系统的主要弱点之一是，它们在部署后无法在对话期间在线学习。这是机会的重大损失。显然，每个人类用户都拥有大量可能对其他人有用的关于世界的知识。如果聊天机器人能够在聊天过程中向用户学习，它将大大扩展其知识库并更好地为用户服务。本文提出在基于规则的聊天机器人中建立这种学习能力，以便它可以在与用户的聊天中不断获取新知识。这项工作很有用，因为许多现实生活中部署的聊天机器人都是基于规则的。