Incorporating Topic Aspects for Online Comment Convincingness Evaluation
Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, Xuanjing Huang · 2018
In this paper, we propose to incorporate topic aspects information for online comments convincingness evaluation.Our model makes use of graph convolutional network to utilize implicit topic information within a discussion thread to assist the evaluation of convincingness of each single comment.In order to test the effectiveness of our proposed model, we annotate topic information on top of a public dataset for argument convincingness evaluation.Experimental results show that topic information is able to improve the performance for convincingness evaluation.We also make a move to detect topic aspects automatically.