| Paper Abstract and Keywords |
| Presentation |
2023-03-18 10:45
Variable Description Prediction Method Based on Nomenclature in Chemical Engineering Domain Papers Shota Kato, Manabu Kano (Kyoto U.) NLC2022-21 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Digital twins require a physical model, but physical model building requires significant effort. To streamline the arduous task, we aim to develop a system that automatically builds physical models from literature databases. This study investigated whether the performance of variable definition extraction can be improved by incorporating nomenclatures from papers other than the target papers. We fine-tuned multiple BERT models while changing the input format and evaluated which format was most effective in identifying the correct pairs of variable symbols and variable definitions. The best performance (Precision: 0.955, Recall: 0.646) was achieved when variable symbols were input in XML format. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Information extraction / Chemical engineering / Mathematical language processing / Variable description extraction / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 449, NLC2022-21, pp. 12-15, March 2023. |
| Paper # |
NLC2022-21 |
| Date of Issue |
2023-03-11 (NLC) |
| 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 |
NLC2022-21 |
| Conference Information |
| Committee |
NLC IPSJ-NL |
| Conference Date |
2023-03-18 - 2023-03-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
OIST |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Applications of natural language processing, and etc. |
| Paper Information |
| Registration To |
NLC |
| Conference Code |
2023-03-NLC-NL |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Variable Description Prediction Method Based on Nomenclature in Chemical Engineering Domain Papers |
| Sub Title (in English) |
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| Keyword(1) |
Information extraction |
| Keyword(2) |
Chemical engineering |
| Keyword(3) |
Mathematical language processing |
| Keyword(4) |
Variable description extraction |
| Keyword(5) |
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| 1st Author's Name |
Shota Kato |
| 1st Author's Affiliation |
Kyoto University (Kyoto U.) |
| 2nd Author's Name |
Manabu Kano |
| 2nd Author's Affiliation |
Kyoto University (Kyoto U.) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-18 10:45:00 |
| Presentation Time |
20 minutes |
| Registration for |
NLC |
| Paper # |
NLC2022-21 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.449 |
| Page |
pp.12-15 |
| #Pages |
4 |
| Date of Issue |
2023-03-11 (NLC) |