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

Naoto Kai, Kota Sakasegawa, Tsunenori Mine, Sachio Hirokawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2019 International Congress on Applied Information Technology, AIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158624
DOIs
Publication statusPublished - Nov 2019
Event2019 International Congress on Applied Information Technology, AIT 2019 - Yogyakarta, Indonesia
Duration: Nov 4 2019Nov 6 2019

Publication series

Name2019 International Congress on Applied Information Technology, AIT 2019

Conference

Conference2019 International Congress on Applied Information Technology, AIT 2019
CountryIndonesia
CityYogyakarta
Period11/4/1911/6/19

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Media Technology
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management

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