Presentation | 2020-12-11 How to collect teacher data for machine learning models to classify internal document know-how Takahiro Shimura, Kohei Yabuki, Takumi Hasegawa, Shiva Krishna Maheshuni, Takeshi Mizuma, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | Know-how / Knowledge Management / Machine Learning / Teacher Data |
Paper # | DC2020-62 |
Date of Issue | 2020-12-04 (DC) |
Conference Information | |
Committee | DC |
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Conference Date | 2020/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Hiroshi Takahashi(Ehime Univ.) |
Vice Chair | Tatsuhiro Tsuchiya(Osaka Univ.) |
Secretary | Tatsuhiro Tsuchiya(Nihon Univ.) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Dependable Computing |
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Language | JPN |
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 |
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) |
Date | 2020-12-11 |
Paper # | DC2020-62 |
Volume (vol) | vol.120 |
Number (no) | DC-288 |
Page | pp.pp.18-22(DC), |
#Pages | 5 |
Date of Issue | 2020-12-04 (DC) |