[2H5-OS-11a] AIとデモクラシー(1/2)

[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.