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The Reframing Detection Focused Attention on Topic Flow

https://asahi-u.repo.nii.ac.jp/records/7552
https://asahi-u.repo.nii.ac.jp/records/7552
ec41ecec-ce8e-4f4b-9f46-2fadb9a3ec8b
Item type 朝日大学 教育・研究業績(1)
公開日 2017-10-13
タイトル
タイトル The Reframing Detection Focused Attention on Topic Flow
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_1843
資源タイプ other
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
業績分類
値 学術雑誌論文
教員氏名 平田, 勇人

× 平田, 勇人

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平田, 勇人

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発行、発表雑誌等、又は発表学会等の名称
値 経営実務法研究第17号
号
値 17
掲載ページ
値 83-94
単著、共著の別
値 単著
発行又は発表の年月
日付 2015-04-01
ISSN
値 1882-9198
概要
値 Reframing is one of the mediation techniques, but it depends on utterances and the context. Therefore it is difficult to detect reframing and provide its appropriate timing. I have been conducting a collaborative research with Professor Katsumi NITTA at the Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology. To solve this problem, we focused attention on topic flow. In this process, we performed some mock conciliations to accumulate data for analysis. We paid our attention to seven kinds of reframing by Hall and Bodenhamer. This enables our system to detect and output a point and classification of the reframing with the help of computer software. When a user inputs argument log and does tagging on it, the system outputs a point and classification of reframing. The system will narrow down "Transition Pattern Filter of Utterance Role" and "Pattern Filter of Argument Structure & Issue Transition", and finally detect and output a point and classification of reframing. We used two analytical tools. The first tool mounts an editor building “Toulmin’s Diagram” expressing logical structure of arguments to detect the reframing. The second tool analyzes the structure of character data of mock conciliation using “KeyGraph”, which characterizes reframing as topic shift and visualizes, and then detects the reframing by use of these two analytical tools. We performed two experiments in this paper. As a result, we think these tools were effective. We want to pursue accuracy more in future.
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