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Graph convolutional networks for node classification in issue-based information system
https://ipsj.ixsq.nii.ac.jp/records/229815
https://ipsj.ixsq.nii.ac.jp/records/2298150a378c68-7122-432f-bd8a-1c7c1aa9936b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-Z85-1C-03.pdf (423.8 kB)
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Copyright (c) 2023 by the Information Processing Society of Japan
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| Item type | National Convention(1) | |||||||||
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| 公開日 | 2023-02-16 | |||||||||
| タイトル | ||||||||||
| タイトル | Graph convolutional networks for node classification in issue-based information system | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 人工知能と認知科学 | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属 | ||||||||||
| 京大 | ||||||||||
| 著者所属 | ||||||||||
| 京大 | ||||||||||
| 著者名 |
丁, 世堯
× 丁, 世堯
× 伊藤, 孝行
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Issue-based information system (IBIS) is a classic argumentation-based approach to solve wicked problems. One of its important problems is how to classify labels for its nodes such as ideas and issues from argumentation documents, which usually causes a huge burden. In this paper, we propose a graph convolutional networks (GCN)-based method that can automatically classify the node labels by efficiently utilizing the relationship of the nodes. Specifically, we consider two kinds of IBIS structures: strict-IBIS and soft-IBIS which are distinguished by whether the argumentation structures strictly follow IBIS definition. We then perform evaluations on a real English discussion dataset to confirm the effectiveness of our proposed method. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00349328 | |||||||||
| 書誌情報 |
第85回全国大会講演論文集 巻 2023, 号 1, p. 27-28, 発行日 2023-02-16 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
