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Paper Abstract and Keywords
Presentation 2020-12-11 14:00
How to collect teacher data for machine learning models to classify internal document know-how
Takahiro Shimura, Kohei Yabuki, Takumi Hasegawa (Kyosan Electric Mfg), Shiva Krishna Maheshuni, Takeshi Mizuma (Univ.Tokyo) DC2020-62
Abstract (in Japanese) (See Japanese page) 
(in English) Not many companies seem to be able to utilize the product design know-how in their internal documents across the board.
The purpose of this study is to establish a method of constructing a machine learning model to classify design know-how from internal documents and to prepare the groundwork for application implementation to support cross-sectional utilization of know-how.
In this paper, we describe the philosophy and implementation method of the tool we have implemented to collect teacher data for the machine learning model, and propose a formula for calculating the usefulness of know-how that allows to easily compare the quality of know-how.
Keyword (in Japanese) (See Japanese page) 
(in English) Know-how / Knowledge Management / Machine Learning / Teacher Data / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 288, DC2020-62, pp. 18-22, Dec. 2020.
Paper # DC2020-62 
Date of Issue 2020-12-04 (DC) 
ISSN Print edition: ISSN 0913-5685  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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Conference Information
Committee DC  
Conference Date 2020-12-11 - 2020-12-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DC 
Conference Code 2020-12-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) How to collect teacher data for machine learning models to classify internal document know-how 
Sub Title (in English)  
Keyword(1) Know-how  
Keyword(2) Knowledge Management  
Keyword(3) Machine Learning  
Keyword(4) Teacher Data  
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1st Author's Name Takahiro Shimura  
1st Author's Affiliation Kyosan Electric Manufacturing Co., Ltd. (Kyosan Electric Mfg)
2nd Author's Name Kohei Yabuki  
2nd Author's Affiliation Kyosan Electric Manufacturing Co., Ltd. (Kyosan Electric Mfg)
3rd Author's Name Takumi Hasegawa  
3rd Author's Affiliation Kyosan Electric Manufacturing Co., Ltd. (Kyosan Electric Mfg)
4th Author's Name Shiva Krishna Maheshuni  
4th Author's Affiliation The University of Tokyo (Univ.Tokyo)
5th Author's Name Takeshi Mizuma  
5th Author's Affiliation The University of Tokyo (Univ.Tokyo)
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Speaker
Date Time 2020-12-11 14:00:00 
Presentation Time 20 
Registration for DC 
Paper # IEICE-DC2020-62 
Volume (vol) IEICE-120 
Number (no) no.288 
Page pp.18-22 
#Pages IEICE-5 
Date of Issue IEICE-DC-2020-12-04 


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