对话式人工智能改善当地环境风险管理

J. Clímaco, Telma Chávez, Arturo Escalante
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引用次数: 0

摘要

在与计算机系统的交互中,趋势是使用虚拟计算机助手,这将允许用户请求信息并与计算机进行交互,就像它与另一个人交流一样。本文总结了使用带有RASA框架的人工智能来设计、分析和开发会话机器人的工作,该框架实现了自然语言处理NLP。这个名为ChatO的机器人打算用一种简单的代码提供天气信息和相关影响,让萨尔瓦多人民了解情况,并采取行动,减少自然灾害造成的负面影响。
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Conversational AI to improve local environmental risk management
In the interaction with computer systems, the trend is moving toward the use of virtual computer assistants that will allow users to request information and interact with computers as it was communicating with another human. This article summarizes the work around the design, analysis, and development of a conversational bot using Artificial Intelligence with RASA framework, that implements natural language processing NLP. The bot named ChatO intends to provide weather information and the impacts related in a simple code, allowing the population of El Salvador to be informed and take actions that aim the reduction of negative impacts due to the occurrence of natural hazards.
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