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.

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