TERM KNOWLEDGE ACQUISITION USING THE STRUCTURE OF HEADLINE SENTENCESFROM INFORMATION EQUIPMENTS OPERATING MANUALS

Makoto Imamura, Yasuhiro Takayama, Masanori Akiyoshi, Norihisa Komoda

2008

Abstract

This paper proposes a method for automatically extracting term knowledge such as case relations and IS-A relations between words in the headline sentences of operating manuals for information equipments. The proposed method acquires term knowledge by the following iterative processing: the case relation extraction using correspondence relations between surface cases and deep cases; the case and IS-A relation extraction using compound word structures; the IS-A relation extraction using correspondence between the case structures in the hierarchical headline sentences. The distinctive feature of our method is to extract new case relations and IS-A relations by comparison and matching the case relations extracting from the super and sub headline sentences using the headline hierarchy. We have confirmed that the proposed method has achieved 92.4% recall and 96.8% precision for extracting case relations, and 93.9% recall and 89.9% precision for extracting IS-A relations from an operating manual of a car navigation system.

References

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Paper Citation


in Harvard Style

Imamura M., Takayama Y., Akiyoshi M. and Komoda N. (2008). TERM KNOWLEDGE ACQUISITION USING THE STRUCTURE OF HEADLINE SENTENCESFROM INFORMATION EQUIPMENTS OPERATING MANUALS . In Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT, ISBN 978-989-8111-51-7, pages 301-308. DOI: 10.5220/0001875803010308


in Bibtex Style

@conference{icsoft08,
author={Makoto Imamura and Yasuhiro Takayama and Masanori Akiyoshi and Norihisa Komoda},
title={TERM KNOWLEDGE ACQUISITION USING THE STRUCTURE OF HEADLINE SENTENCESFROM INFORMATION EQUIPMENTS OPERATING MANUALS},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT,},
year={2008},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001875803010308},
isbn={978-989-8111-51-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT,
TI - TERM KNOWLEDGE ACQUISITION USING THE STRUCTURE OF HEADLINE SENTENCESFROM INFORMATION EQUIPMENTS OPERATING MANUALS
SN - 978-989-8111-51-7
AU - Imamura M.
AU - Takayama Y.
AU - Akiyoshi M.
AU - Komoda N.
PY - 2008
SP - 301
EP - 308
DO - 10.5220/0001875803010308