The AI enabled Chatbot Framework for Intelligent Citizen-Government Interaction for Delivery of Services

Iqbal Hasan, S. Rizvi, S. Jain, Sakshi Huria
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引用次数: 3

Abstract

Semantic modeling of domain knowledge for natural language question-answering based on conversational assistants nowadays has gained popularity with the development of chatbots and voice assistants. Chatbots based on artificial intelligence and interactive technologies are helping organizations and governments to interact and accomplish tasks such as question answering, instant messaging, and promoting any ideas or services. As various government services are provided to fellow citizens through manual interaction or through electronic means. This causes a huge burden of works on various government departments and many queries of the citizens remain unresolved. Nowadays, intelligent chatbots can mimic humans and help users who are not acquainted with technologies to avail answers to their domain-specific queries. However, providing answers with domain-specific capabilities still remain a challenge. In this paper, we present the design of a conversational assistant for answering user queries and administrative support. It is developed using Google Dialogflow and trained on a domain-specific semantic model with intelligent abilities to answer user queries and process service requests. On analysis, we observed that the developed chatbot performs with approx. 95% accuracy in responding to the queries. The chatbot has been deployed in NIC for assistance to user queries regarding e-District services.
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人工智能支持聊天机器人框架,用于智能公民与政府互动,以提供服务
随着聊天机器人和语音助手的发展,基于会话助手的自然语言问答领域知识语义建模得到了广泛的应用。基于人工智能和互动技术的聊天机器人正在帮助组织和政府进行互动和完成任务,如问答、即时通讯和推广任何想法或服务。由于各项政府服务是透过人工互动或电子方式向市民提供。这给政府各部门带来了巨大的工作负担,市民的许多疑问也得不到解决。如今,智能聊天机器人可以模仿人类,帮助不熟悉技术的用户利用特定领域查询的答案。然而,用特定于领域的功能提供答案仍然是一个挑战。在本文中,我们提出了一个会话助手的设计,以回答用户的查询和管理支持。它是使用Google Dialogflow开发的,并在特定领域的语义模型上进行训练,该模型具有回答用户查询和处理服务请求的智能能力。在分析中,我们观察到开发的聊天机器人的性能约为。对查询的回答准确率为95%。该聊天机器人已部署在NIC,以协助用户查询e区服务。
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