| Paper Abstract and Keywords |
| Presentation |
2026-07-23 14:50
A Structuring Method for Disaster Memorial Monument Data Toward Historical Disaster Risk Information Utilization Takuya Nakata (Kobe Univ.), Nanako Inokawa (Tohoku Univ.) ICM2026-7 SC2026-13 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Natural disaster monuments contain free-text records of flood events, damage, countermeasures, and lessons.
LLM-based structuring may generate unsupported information or assign information to incorrect fields.
We compare evidence-aware generation, which outputs structured information with supporting text, against direct and two-stage generation.
The methods were evaluated on 639 records, with an additional manual assessment of 25 records.
Evidence-aware generation achieved the highest mean score and reduced unsupported outputs and field misassignments, but increased omissions.
Two-stage generation handled some compound casualty expressions but was less stable overall.
These results suggest that evidence-aware generation improves inspectability and reduces unsupported outputs, with a trade-off in coverage. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Natural disaster monuments / Information extraction / Large language models / Evidence-aware generation / Data structuring / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 129, SC2026-13, pp. 21-28, July 2026. |
| Paper # |
SC2026-13 |
| Date of Issue |
2026-07-16 (ICM, SC) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
ICM2026-7 SC2026-13 |
| Conference Information |
| Committee |
SC ICM |
| Conference Date |
2026-07-23 - 2026-07-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
SC |
| Conference Code |
2026-07-SC-ICM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Structuring Method for Disaster Memorial Monument Data Toward Historical Disaster Risk Information Utilization |
| Sub Title (in English) |
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| Keyword(1) |
Natural disaster monuments |
| Keyword(2) |
Information extraction |
| Keyword(3) |
Large language models |
| Keyword(4) |
Evidence-aware generation |
| Keyword(5) |
Data structuring |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Takuya Nakata |
| 1st Author's Affiliation |
Kobe University (Kobe Univ.) |
| 2nd Author's Name |
Nanako Inokawa |
| 2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-07-23 14:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
SC |
| Paper # |
ICM2026-7, SC2026-13 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.128(ICM), no.129(SC) |
| Page |
pp.21-28 |
| #Pages |
8 |
| Date of Issue |
2026-07-16 (ICM, SC) |