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

Naoto Kai; Kota Sakasegawa; Tsunenori Mine; Sachio Hirokawa

doi:10.1109/AIT49014.2019.9144929

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

Naoto Kai, Kota Sakasegawa, Tsunenori Mine, Sachio Hirokawa

Advanced Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	2019 International Congress on Applied Information Technology, AIT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728158624
DOIs	https://doi.org/10.1109/AIT49014.2019.9144929
Publication status	Published - Nov 2019
Event	2019 International Congress on Applied Information Technology, AIT 2019 - Yogyakarta, Indonesia Duration: Nov 4 2019 → Nov 6 2019

Publication series

Name	2019 International Congress on Applied Information Technology, AIT 2019

Conference

Conference	2019 International Congress on Applied Information Technology, AIT 2019
Country/Territory	Indonesia
City	Yogyakarta
Period	11/4/19 → 11/6/19

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/AIT49014.2019.9144929

Cite this

Kai, N., Sakasegawa, K., Mine, T., & Hirokawa, S. (2019). Machine Learning of Ambiguous Sentences in Technical Manual for Tacit Knowledge Acquisition. In 2019 International Congress on Applied Information Technology, AIT 2019 Article 9144929 (2019 International Congress on Applied Information Technology, AIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIT49014.2019.9144929

Machine Learning of Ambiguous Sentences in Technical Manual for Tacit Knowledge Acquisition. / Kai, Naoto; Sakasegawa, Kota; Mine, Tsunenori et al.
2019 International Congress on Applied Information Technology, AIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9144929 (2019 International Congress on Applied Information Technology, AIT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kai, N, Sakasegawa, K, Mine, T & Hirokawa, S 2019, Machine Learning of Ambiguous Sentences in Technical Manual for Tacit Knowledge Acquisition. in 2019 International Congress on Applied Information Technology, AIT 2019., 9144929, 2019 International Congress on Applied Information Technology, AIT 2019, Institute of Electrical and Electronics Engineers Inc., 2019 International Congress on Applied Information Technology, AIT 2019, Yogyakarta, Indonesia, 11/4/19. https://doi.org/10.1109/AIT49014.2019.9144929

Kai N, Sakasegawa K, Mine T, Hirokawa S. Machine Learning of Ambiguous Sentences in Technical Manual for Tacit Knowledge Acquisition. In 2019 International Congress on Applied Information Technology, AIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9144929. (2019 International Congress on Applied Information Technology, AIT 2019). doi: 10.1109/AIT49014.2019.9144929

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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.",

author = "Naoto Kai and Kota Sakasegawa and Tsunenori Mine and Sachio Hirokawa",

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AB - 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.

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

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