论文标题
注意知识差距：知识增强对话系统的调查
Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems
论文作者
论文摘要
许多对话系统（DSS）缺乏人类具有的特征，例如情感感知，事实和信息性。用知识增强DSS可以减轻此问题，但是，由于许多这样做的方式，要跟踪所有提出的方法很困难。在这里，我们介绍了知识增强的DSS的首次调查。我们根据它们使用的知识来定义三类系统 - 内部，外部和混合动力。我们调查了通过知识，使用的数据集以及知识搜索，知识编码和知识融合的方法增强DSS的动机。最后，我们建议如何根据语言学和认知科学的理论改善现有系统。
Many dialogue systems (DSs) lack characteristics humans have, such as emotion perception, factuality, and informativeness. Enhancing DSs with knowledge alleviates this problem, but, as many ways of doing so exist, keeping track of all proposed methods is difficult. Here, we present the first survey of knowledge-enhanced DSs. We define three categories of systems - internal, external, and hybrid - based on the knowledge they use. We survey the motivation for enhancing DSs with knowledge, used datasets, and methods for knowledge search, knowledge encoding, and knowledge incorporation. Finally, we propose how to improve existing systems based on theories from linguistics and cognitive science.
