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 language | English |
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| Title of host publication | Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020 |
| Subtitle of host publication | From Demonstration to Practical Use - To New Stage of Construction Robot |
| Publisher | International Association on Automation and Robotics in Construction (IAARC) |
| Pages | 1322-1326 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789529436347 |
| Publication status | Published - 2020 |
| Event | 37th 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 27 → 2020 Oct 28 |
Publication series
| Name | 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 |
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Conference
| Conference | 37th International Symposium on Automation and Robotics in Construction: From Demonstration to Practical Use - To New Stage of Construction Robot, ISARC 2020 |
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| Country/Territory | Japan |
| City | Kitakyushu, Online |
| Period | 20/10/27 → 20/10/28 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (No. 2018R1A2B2008600) and the Ministry of Education (No. 2018R1A6A1A08025348).
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
