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Modularized and Flow-Based Approach to Chatbot Design and Deployment

机译:基于模块化和基于流程的Chatbot设计和部署方法

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Chatbots are computer programs designed to chat with users via text or voice through the use of techniques of Web services, data analysis, and artificial intelligence (AI). Currently, the use of chatbot is becoming an important trend in the field of data science. An increasing number of chatbots are being built on social platforms, such as Facebook, LINE, and Slack. This has led to the development of numerous tools and online platforms for the construction of chatbots; however, most of these services do not provide comprehensive support for the visual representation and control of conversational flows, bi-directional Web service integration, or the systematic reuse of conversations. Developing a complex chatbot with external Web services requires the writing of extensive conversation scripts and additional coding. In this paper, we propose a visual, flow-based approach to the construction of chatbots on the Node-RED platform, referred to as FCF (Flow-based Chatbot Framework). This system is based on the newly-devised data format for Webhook, thereby allowing bidirectional service integration for software applications. Five chatbot dialogue patterns and three chatbot application scenarios are provided to be components for the construction of complex chatbot applications.
机译:聊天机器人是计算机程序,旨在通过使用Web服务,数据分析和人工智能(AI)的技术,通过文本或语音与用户聊天。当前,使用聊天机器人正在成为数据科学领域的重要趋势。越来越多的聊天机器人正在Facebook,LINE和Slack等社交平台上构建。这导致开发了许多用于构建聊天机器人的工具和在线平台。但是,这些服务中的大多数并没有为对话流的可视化表示和控制,双向Web服务集成或对话的系统重用提供全面的支持。使用外部Web服务开发复杂的聊天机器人需要编写大量的对话脚本和其他代码。在本文中,我们提出了一种基于视觉,基于流程的方法来在Node-RED平台上构建聊天机器人,称为FCF(基于流程的聊天机器人框架)。该系统基于Webhook的新设计数据格式,从而允许软件应用程序的双向服务集成。提供了五种聊天机器人对话模式和三种聊天机器人应用程序场景,作为构建复杂的聊天机器人应用程序的组件。

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