@inproceedings{84f1ab095bd84e0f8d9341fab247a0f6,
title = "Contrasting opposing views of news articles on contentious issues",
abstract = "We present disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for understanding the discourse. It performs unsupervised classification on news articles based on disputant relations, and helps readers intuitively view the articles through the opponent-based frame. The readers can attain balanced understanding on the contention, free from a specific biased view. We applied a modified version of HITS algorithm and an SVM classifier trained with pseudo-relevant data for article analysis.",
author = "Souneil Park and Lee, \{Kyung Soon\} and Junehwa Song",
year = "2011",
language = "English",
isbn = "9781932432879",
series = "ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies",
pages = "340--349",
booktitle = "ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics",
note = "49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 ; Conference date: 19-06-2011 Through 24-06-2011",
}