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Title: 医学論文抄録を対象とした略語表現自動抽出アルゴリズムの構築と評価
Other Titles: Developing and Evaluating an Auto-retrieval Algorithm for Abbreviations in Academic Articles
Authors: 若生, 理佳1 Browse this author
西本, 尚樹2 Browse this author
上杉, 正人3 Browse this author
寺下, 貴美4 Browse this author →KAKEN DB
小笠原, 克彦5 Browse this author →KAKEN DB
Authors(alt): Michika Wakoh1
Naoki Nishimoto2
Masahito Uesugi3
Takayoshi Terashita4
Katsuhiko Ogasawara5
Keywords: abbreviation
medical subject headings
semantic inventory
rule-based programming
Issue Date: Aug-2009
Publisher: 日本放射線技術学会
Journal Title: 日本放射線技術学会雑誌
Volume: 65
Issue: 8
Start Page: 1025
End Page: 1031
Abstract: The purpose of this study was to develop an automated acquisition support for the semantics of abbreviations and evaluate its performance with respect to academic articles. Our goal was to support the maintenance of an institution-specific semantics inventory for abbreviations on a continuous basis. We retrieved articles from MEDLINE with the keyword “Liver [MeSH],” and 100 abstracts were randomly selected. Abbreviations and their full forms were retrieved using original Java software based on the following rules. (1) Searching the parentheses in the abstracts, the words inside the parentheses were retrieved as “INNER” and the words in front of the parentheses were retrieved as “OUTER.” (2) Matching rules, such as whether the first characters of INNER and OUTER were the same. (3) If the words satisfied the conditions stated at (2), INNER was saved as the abbreviation and OUTER as the full form. Performance was manually evaluated by two graduate students and a radiologist. Of the 165 pairs of abbreviations and full forms that were obtained, 145 (87.9%) constituted correct matches.
Type: article
Appears in Collections:保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小笠原 克彦

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