管道式对话系统研究进展及其在医疗领域应用

随着人工智能技术的快速发展,任务型对话系统成为了人机交互领域的热点研究方向。管道式方法是其一种经典的设计框架,在任务型对话系统的研究和应用中扮演着重要角色。本文对管道式任务型对话系统的研究进展进行了综述,并重点探讨了其在医疗领域的应用。首先介绍管道式对话系统各模块的基本原理、评价指标以及常用的数据集。然后,梳理了近年来深度学习技术在管道式对话系统研究中取得的重要进展,并进一步归纳了所用模型的优缺点。接着,重点关注了管道式对话系统在医疗领域的应用,并讨论了医疗对话系统的需求和挑战。最后,对全文进行总结并展望了未来的研究方向和发展趋势。

Advances in pipelined dialogue system research and its application in medical field

With the rapid development of artificial intelligence technology, task-based dialogue systems have become a hot research direction in the field of human-computer interaction. The pipelined approach is regarded as a classical design framework, playing a significant role in the research and application of task-based dialogue systems. In this paper, the research progress in pipelined task-based dialogue systems is overviewed, with a specific emphasis on their application in the medical field. Firstly, the basic principles, evaluation metrics and commonly used datasets of each module of pipelined dialogue systems are introduced. Then, the important advances made by deep learning techniques in the research of pipelined dialogue systems in recent years are sorted out, and the advantages and disadvantages of the models used are further summarized. Subsequently, the application of pipelined dialogue systems in the medical field is specifically focused on, and the requirements and challenges of medical dialogue systems are discussed. Finally, the full paper is summarized and future research directions and trends are outlined.