Machine Learning of Ambiguous Sentences in Technical Manual for Tacit Knowledge Acquisition

Naoto Kai, Kota Sakasegawa, Tsunenori Mine, Sachio Hirokawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

The objective of this study is to judge ambiguous sentences for mining tacit knowledge. This study was conducted with inspections and maintenance of railway rolling stock as the subject. To test the hypothesis that ambiguous sentences include tacit knowledge, we compared result of mining by human and by machine learning. We obtained the results that we can recognize the ambiguous sentences by machinery judgement with high accuracy. The most striking observation to emerge from this data analysis was that ambiguous sentences can identified not only by adjectives and adverbs but also nouns, post positional particle, or conjunctions.

本文言語英語
ホスト出版物のタイトル2019 International Congress on Applied Information Technology, AIT 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728158624
DOI
出版ステータス出版済み - 11 2019
イベント2019 International Congress on Applied Information Technology, AIT 2019 - Yogyakarta, インドネシア
継続期間: 11 4 201911 6 2019

出版物シリーズ

名前2019 International Congress on Applied Information Technology, AIT 2019

会議

会議2019 International Congress on Applied Information Technology, AIT 2019
国/地域インドネシア
CityYogyakarta
Period11/4/1911/6/19

All Science Journal Classification (ASJC) codes

  • 情報システム
  • メディア記述
  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システムおよび情報管理

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