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形態素解析における放射線技術学分野の用語適用 : 診療放射線技師試験を対象とした未知語の調査

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タイトル: 形態素解析における放射線技術学分野の用語適用 : 診療放射線技師試験を対象とした未知語の調査
その他のタイトル: Pilot Study of Domain-specific Terminology Adaptation for Morphological Analysis : Research on Unknown Terms in National Examination Documents of Radiological Technologists
著者: 辻, 真太朗 著作を一覧する
西本, 尚樹 著作を一覧する
小笠原, 克彦 著作を一覧する
キーワード: morphological analysis
unknown words
medical documents
発行日: 2008年 7月20日
出版者: 日本放射線技術学会 = Japanese Society of Radiological Technology
誌名: 日本放射線技術学会雑誌 = Japanese journal of Radiological Technology
巻: 64
号: 7
開始ページ: 791
終了ページ: 794
抄録: Although large medical texts are stored in electronic format, they are seldom reused because of the difficulty of processing narrative texts by computer. Morphological analysis is a key technology for extracting medical terms correctly and automatically. This process parses a sentence into its smallest unit, the morpheme. Phrases consisting of two or more technical terms, however, cause morphological analysis software to fail in parsing the sentence and output unprocessed terms as "unknown words." The purpose of this study was to reduce the number of unknown words in medical narrative text processing. The results of parsing the text with additional dictionaries were compared with the analysis of the number of unknown words in the national examination for radiologists. The ratio of unknown words was reduced 1.0% to 0.36% by adding terminologies of radiological technology, MeSH, and ICD-10 labels. The terminology of radiological technology was the most effective resource, being reduced by 0.62%. This result clearly showed the necessity of additional dictionary selection and trends in unknown words. The potential for this investigation is to make available a large body of clinical information that would otherwise be inaccessible for applications other than manual health care review by personnel.
資料タイプ: article
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 小笠原 克彦


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