Deep learning-based question answering system for proactive disaster management

Yohan Kim, Jiu Sohn, Seongdeok Bang, Hyoungkwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As climate change increases the frequency and intensity of natural disasters, proactive disaster management is needed to reduce the damage caused by the natural disasters. Existing reports that record the scale, damage, and response of natural disasters can be used as references for proactive disaster management. However, it is labor-intensive and time-consuming to manually find the necessary information from a number of reports. Thus, this study proposes a natural language processing (NLP)-based question answering system (QA system) for proactive disaster management using the existing reports. This study is focused on paragraphs retrieval, which retrieves paragraphs that have a high similarity to a given question based on the word embedding. The National Hurricane Center's Tropical Cyclone Reports are used to evaluate the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020
Subtitle of host publicationFrom Demonstration to Practical Use - To New Stage of Construction Robot
PublisherInternational Association on Automation and Robotics in Construction (IAARC)
Pages1322-1326
Number of pages5
ISBN (Electronic)9789529436347
Publication statusPublished - 2020
Event37th International Symposium on Automation and Robotics in Construction: From Demonstration to Practical Use - To New Stage of Construction Robot, ISARC 2020 - Kitakyushu, Online, Japan
Duration: 2020 Oct 272020 Oct 28

Publication series

NameProceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot

Conference

Conference37th International Symposium on Automation and Robotics in Construction: From Demonstration to Practical Use - To New Stage of Construction Robot, ISARC 2020
Country/TerritoryJapan
CityKitakyushu, Online
Period20/10/2720/10/28

Bibliographical note

Publisher Copyright:
© 2020 Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Human-Computer Interaction
  • Geotechnical Engineering and Engineering Geology

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