基于Rasa框架的智能对话系统研究与设计

Research and design of intelligent dialogue system based on Rasa framework

随着预训练语言模型和知识图谱技术的快速发展,人机对话技术目前已成为人工智能领域新的研究热点,受到学术界和工业界的广泛关注。人机对话系统分为任务型和非任务型两类,其中任务型对话系统用于帮助用户完成某些特定任务,对其进行深入研究将具有很高的学术价值和应用价值。本文将利用Rasa开源框架研究和设计一套智能对话系统,帮助公司完成提质增效管理目标,提升公司整体智能化管理水平。

With the rapid development of pre-trained language models and knowledge graph technology, human-computer dialogue technology has become a new research hotspot in the field of artificial intelligence, which has attracted extensive attention from academia and industry. Human-computer dialogue system can be divided into task-oriented dialogue systems and non-taskoriented dialogue systems, among which task-oriented dialogue systems provide a convenient interface to help users complete some specific tasks, and in-depth research on them will have high academic value and application value. This article will use the Rasa open source framework component to research and design an intelligent dialogue system to help the company achieve the management goals of improving quality and efficiency, and improve the company’s overall intelligent management level.