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Conference Papers Year : 2022

Information Tracking Extraction for Emergency Scenario Response

Abstract

With the frequent occurrences of emergencies, scenario response is proposed by researchers for emergency management. On the one hand, extracting emergency-related information is necessary and important for describing emergency scenario correctly; On the other hand, some emergency-related information evolve dynamically with time going on. To this end, a method for information extraction based on event tracking (called as information tracking extraction) for emergency scenario response is proposed. Based on the emergency tracking, it firstly judges the type of the emergency; secondly extracts time, location, casualty and loss based on multi strategies; finally adopts E-charts to visualize the extraction results. Experimental results show the proposed method can achieve high precision and recall, and the visualization of the tracking extraction results can display the dynamic evolution process better, which is very helpful to the scientific decision-making in the emergency management.
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hal-04178716 , version 1 (08-08-2023)

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Hua Zhao, Xiaoqian Li, Peixin Zhang, Zhengguo Song. Information Tracking Extraction for Emergency Scenario Response. 12th International Conference on Intelligent Information Processing (IIP), May 2022, Qingdao, China. pp.203-215, ⟨10.1007/978-3-031-03948-5_17⟩. ⟨hal-04178716⟩
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