客户服务聊天机器人增强会话语言理解和知识库

C. Chang, Wen Cheng, Sean Hsiao
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引用次数: 0

摘要

开发了一个具有会话语言理解能力和知识库的客户服务聊天机器人。在这里,我们将探索统一为Azure语言认知服务的LUIS和QnA Maker。LUIS是一种基于云的会话AI服务,可以响应用户的智能。QnA maker是一个自定义问答知识库。这个问答知识库对于客户对话特别有用。因此,通过组合这些服务,我们提供了一个智能响应,并提供了一个知识库来理解和改进服务。我们在LINE Bot平台上实现了这个聊天机器人。用户只需在LINE上添加这个聊天机器人的代表就可以轻松访问它。此外,我们通过这个聊天机器人发送营销信息。实验结果表明,该聊天机器人是可行的,用户接受度高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customer Service Chatbot Enhanced with Conversational Language Understanding and Knowledge Base
A customer service chatbot enhanced with conversational language understanding and knowledge base is developed. Here, we explore LUIS and QnA Maker which are unified as Azure cognitive service for language. LUIS is a cloudbased conversational AI service that responds a user intelligence. QnA maker is a knowledge base for custom question answering. This question-and-answer knowledge base is especially useful for customer dialogs. Hence, by combining the services, we provide a smart response and provide a knowledge base to understand and improve the service. We implement this chatbot on the LINE Bot platform. Users easily access it by simply adding the representative of this chatbot on LINE. In addition, we put marketing information through this chatbot. The experiments are conducted, and the results show the chatbot is feasible and has a high user acceptance.
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