Paper Abstract and Keywords |
Presentation |
2019-05-31 10:45
Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature Luca Foppiano, Thaer M. Dieb, Akira Suzuki, Masashi Ishii (NIMS) SC2019-1 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly required for rapid materials development using big data, namely materials informatics (MI). The difficulty of this automatic collection is mainly caused by the variety of expressions in the papers, a robust system with tolerance to such variety is required to be developed. In this paper, we report an ongoing interdisciplinary work to construct a system for automatic collection of superconductor-related information from scientific literature using text mining techniques. We focused on the identification of superconducting material names and their critical temperature (Tc) key property. We discuss the construction of a prototype for extraction and linking using machine learning (ML) techniques for the physical information collection. From the evaluation using 500 sample documents, we define a baseline and a direction for future improvements. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
material informatics / superconductors / machine learning / nlp / tdm / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 66, SC2019-1, pp. 1-5, May 2019. |
Paper # |
SC2019-1 |
Date of Issue |
2019-05-24 (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) |
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SC2019-1 |
Conference Information |
Committee |
SC |
Conference Date |
2019-05-31 - 2019-06-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
National Institute for Materials Science |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Science Service Platform, Data Service and Machine Learning, etc |
Paper Information |
Registration To |
SC |
Conference Code |
2019-05-SC |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature |
Sub Title (in English) |
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Keyword(1) |
material informatics |
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superconductors |
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machine learning |
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nlp |
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tdm |
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1st Author's Name |
Luca Foppiano |
1st Author's Affiliation |
National Institute for Materials Science (NIMS) |
2nd Author's Name |
Thaer M. Dieb |
2nd Author's Affiliation |
National Institute for Materials Science (NIMS) |
3rd Author's Name |
Akira Suzuki |
3rd Author's Affiliation |
National Institute for Materials Science (NIMS) |
4th Author's Name |
Masashi Ishii |
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National Institute for Materials Science (NIMS) |
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Speaker |
Author-1 |
Date Time |
2019-05-31 10:45:00 |
Presentation Time |
30 minutes |
Registration for |
SC |
Paper # |
SC2019-1 |
Volume (vol) |
vol.119 |
Number (no) |
no.66 |
Page |
pp.1-5 |
#Pages |
5 |
Date of Issue |
2019-05-24 (SC) |
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