Presentation information

Organized Session

Organized Session » OS-11

[2H5-OS-11a] AIとデモクラシー(1/2)

Wed. Jun 15, 2022 3:20 PM - 5:00 PM Room H (Room H)

オーガナイザ:伊藤 孝行(京都大学)[現地]、大沼 進(北海道大学)、松尾 徳朗(産業技術大学院大学)、白松 俊(名古屋工業大学)

4:00 PM - 4:20 PM

[2H5-OS-11a-03] Link Prediction Using Gated Attention Network for Online Discussions

〇Yudai Tenda1, Atsuya Sakai2, Takumi Sato2, Takayuki Ito1 (1. Kyoto University, 2. Nagoya Institute of Technology)

Keywords:machine learning, natural language processing, argumentation mining, classification, automated facilitation agent

The purpose of this study is to perform link prediction, which is one of the subtasks of discussion structure extraction, with high accuracy. Link prediction is a task to predict relations of opinions. When we know the relations of opinions, we can transform discussions into tree-structure graphs and analyze the flow of discussions. In this paper, we propose a method of link prediction which uses Gated Attention Networks (GaAN). The experimental result shows that our method can predict links in discussions with higher accuracy than the existing studies.

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