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Wide-grained capsule network with sentence-level feature to detect meteorological event in social network

机译：具有句子级功能的宽粒度胶囊网络可检测社交网络中的气象事件

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摘要

In recent years, frequent meteorological disasters have caused great concern to people. It is particularly important to timely detect the meteorological events and release early warning information. Most traditional meteorological event detection methods rely on physical sensors, but such practice is usually costly and inflexible. As a new form of lightweight social sensor, social networks make up for the shortcomings of traditional physical sensors. In this paper, we propose a sentence-level feature based meteorological event detection model to detect 14 types of meteorological events defined by the China Meteorological Administration (CMA) in Sina Weibo. Our joint model consists of two modules: a fine-tuned BERT as the language model and a wide-grained capsule network as the event detection network. The design of our model considers the correlation among meteorological events and achieves the best results on all metrics compared with other baseline models. Moreover, as a practical application, our model has been applied to the meteorological event monitoring platform in the CMA Public Meteorological Service Center to provide online services. (C) 2019 Elsevier B.V. All rights reserved.
机译：近年来，频繁的气象灾害引起人们的极大关注。及时检测气象事件并发布预警信息尤其重要。大多数传统的气象事件检测方法都依赖于物理传感器，但是这种做法通常既昂贵又不灵活。社交网络作为一种新型的轻量级社交传感器，弥补了传统物理传感器的不足。在本文中，我们提出了一种基于句子级特征的气象事件检测模型，以检测由中国气象局（CMA）在新浪微博定义的14种气象事件。我们的联合模型由两个模块组成：一个经过微调的BERT作为语言模型，一个宽粒度的胶囊网络作为事件检测网络。我们模型的设计考虑了气象事件之间的相关性，并且与其他基准模型相比，在所有指标上均取得了最佳结果。此外，作为一种实际应用，我们的模型已应用于CMA公共气象服务中心的气象事件监控平台，以提供在线服务。 （C）2019 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Future generation computer systems》 |2020年第1期|323-332|共10页
  • 作者

    Shi Kaize; Gong Changjin; Lu Hao; Zhu Yifan; Niu Zhendong;

  • 作者单位

    Beijing Inst Technol Inst Software Intelligence & Software Engineer Sch Comp Sci & Technol Beijing 100081 Peoples R China;

    Beijing Inst Technol Inst Software Intelligence & Software Engineer Sch Comp Sci & Technol Beijing 100081 Peoples R China|Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China;

    Beijing Inst Technol Inst Software Intelligence & Software Engineer Sch Comp Sci & Technol Beijing 100081 Peoples R China|Univ Pittsburgh Sch Comp & Informat Pittsburgh PA 15260 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Meteorological event detection; Fine-tuned BERT; Wide-grained capsule network; SFMED model;

    机译：气象事件检测;微调的BERT;宽粒度的胶囊网络;SFMED模型;

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