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Research on Assisted Generation Method of Emergency Management Structured Case for Natural Text

机译:自然文本应急管理结构案件辅助发电方法研究

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At present, most of the structured emergency case generation relies on the manual summary of relevant emergency management personnel which is labor intensive and inefficient. To solve this problem, this paper proposes an assisted generation method of emergency management structured case for natural text. The method uses natural language processing technology and some machine learning algorithms to automatically generate structured cases from common accident investigation reports. It reduces the dependence on the artificial when the structured cases are generated. Those generated structured cases are easy to manage and and has a clear structure, and they can be used in teaching and research, as well as for decision-making. Therefore, it has important practical significance and research significance.
机译:目前,大多数结构化的紧急情况一代依赖于有关应急管理人员的手动摘要,这是劳动密集型和效率低下的。为了解决这个问题,本文提出了一种自然文本紧急管理结构案例的辅助生成方法。该方法采用自然语言处理技术和一些机器学习算法从常见事故调查报告中自动生成结构化案例。当产生结构情况时,它会降低对人工的依赖。这些生成的结构案例易于管理,并且结构清晰,它们可用于教学和研究以及决策。因此,它具有重要的实际意义和研究意义。

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