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- W4387488052 abstract "Landslides are a type of natural disaster characterised by ground movements in the form of rockfalls, debris falls, mud-flow and slope failures. It is one of the primary natural disaster and has been studied since as early as 1807 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sup> <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sup> https://shorturl.at/nvxAJ. Disaster management is a stream of research in Information Technology, Political Science, Legal and Ethical Studies, Geology and so on which has garnered a lot of attention in the recent past. A primary dependency of such research is on archival data related to landslides. As a part of this work, a novel framework for generating landslide archive is proposed. The source of this data archive are online news articles from dependable news publishers. The data archive contains comprehensive information about the date, location, severity, and meteorological causes for landslides. The end-to-end framework contains a user-friendly web interface for running easy, concise, and customisable queries with near real-time responses." @default.
- W4387488052 created "2023-10-11" @default.
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- W4387488052 date "2023-08-25" @default.
- W4387488052 modified "2023-10-16" @default.
- W4387488052 title "Automated Landslide Event Archive Generation from News Articles" @default.
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- W4387488052 doi "https://doi.org/10.1109/asiancon58793.2023.10270576" @default.
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