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 |
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 |
DC2020-62 |
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 |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
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) |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2020-12-11 14:00:00 |
Presentation Time |
20 minutes |
Registration for |
DC |
Paper # |
DC2020-62 |
Volume (vol) |
vol.120 |
Number (no) |
no.288 |
Page |
pp.18-22 |
#Pages |
5 |
Date of Issue |
2020-12-04 (DC) |
|