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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
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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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)  
Keyword(1) material informatics  
Keyword(2) superconductors  
Keyword(3) machine learning  
Keyword(4) nlp  
Keyword(5) tdm  
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  
4th Author's Affiliation 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 
Date of Issue 2019-05-24 (SC) 

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