Presentation information

Interactive Session

General Session » Interactive Session

[2Xin5] インタラクティブ1

Wed. Jun 9, 2021 5:20 PM - 7:00 PM Room X (Poster room 1)

[2Xin5-11] Argumentation Structure Visualization System for Reviewing Students' Reports

〇Sho Yanase1, Yasuhiro Noguchi1, Satoru Kogure1, Koichi Yamashita2, Tatsuhiro Konishi1 (1.Shizuoka University, 2.Tokoha University)

Keywords:Natural Language Processing, Argumentation Structure Analysis, Argumentation Mining, Report Review Support

In college education, students acquire their logical writing skills by not only lectures on writing but also feedbacks from teachers on reports submitted for experiments courses. After interpreting the logical structure of the students' reports, teachers provide their comments to indicate the ambiguities in the logical flow, the lack of evidence corresponding to the claims, and the sentences with ambiguous evidence in support of the claims. However, students often misunderstand the comments and ignore them. It is because that these comments are based on the teachers' interpreted logical structure; students who believe that their own reports describe different logical structure cannot understand the comments. In this study, we propose a teacher support system that visualizes the logical structure of a paragraph in students' reports, so that the teacher can create the feedback with the visualized logical structure. In this paper, we introduce the prototype system and its algorithms that classify sentence types and analyze the logical relations between sentences.

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