Constructing Topic Person Interaction Networks Using a Tree Kernel-Based Method
Yung‐Chun Chang, Chen Zhong-yong, Chien Chin Chen, Wen-Lian Hsu · International Journal of Languages Literature and Linguistics · 2015
In this paper, we investigate the interactions between topic persons to help readers construct the background knowledge of a topic.We proposed a rich interactive tree structure to represent syntactic, content, and semantic information in the text for extracting person interactions.Subsequently, a model-based EM method is employed to discover the stance communities of the topic persons to assist the exhibition of the interaction networks.Empirical evaluations demonstrate that the proposed method is effective in detecting and extracting the interactions between topic persons in the text, and outperforms other extraction approaches used for comparison.Furthermore, readers will be able to easily navigate through the topic persons of interest within the interaction networks, and further construct the background knowledge of the topic to facilitate comprehension.