acl acl2011 acl2011-84 acl2011-84-reference knowledge-graph by maker-knowledge-mining

84 acl-2011-Contrasting Opposing Views of News Articles on Contentious Issues


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Author: Souneil Park ; Kyung Soon Lee ; Junehwa Song

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. 1


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Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan Srikant, and Yirong Xu. 2003. Mining newsgroups using networks arising from social behavior. In Proceedings of WWW. Baker, B. 1994. How to Identify, Expose and Correct Liberal Media Bias. Media Research Center. Mohit Bansal, Claire Cardie, and Lillian Lee. 2008. The power of negative thinking: Exploit348 ing label disagreement in the min-cut classification framework. In Proceedings of the 22nd International Conference on Computational Linguistics (COLING-2008). Jon M. Kleinberg. 1999. Authoritative sources in a hyperlinked environment. In Journal of ACM, 46(5): 604-632. Landis JR, Koch G. 1977. The measurement of observer agreement for categorical data. Biometrics 33: 159-174. Changki Lee, Yi-Gyu Hwang, Hyo-Jung Oh, Soojong Lim, Jeong Heo, Chung-Hee Lee, HyeonJin Kim, Ji-Hyun Wang, Myung-Gil Jang. 2006. Fine-Grained Named Entity Recognition using Conditional Random Fields for Question An- swering, In Proceedings of Human & Cognitive Language Technology (HCLT), pp. 268~272. (in Korean) Wei-Hao Lin, Theresa Wilson, Janyce Wiebe, and Alexander Hauptmann. 2006. Which side are you on? Identifying perspectives at the document and sentence levels. In Proceedings of the 10th Conference on Computational Natural Language Learning (CoNLL-2006), pages 109– 116, New York. Mark M. Miller and Bonnie P. Riechert. 2001. Spiral Opportunity and Frame Resonance: Mapping Issue Cycle in News and Public Discourse. In Framing Public Life: Perspectives on Media and our Understanding of the Social World, NJ: Lawrence Erlbaum Associates. I Ounis, M de Rijke, C Macdonald, G Mishne, and ISoboroff. 2006. Overview of the TREC-2006 Blog Track. In Proceedings of TREC. Pang, Bo, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment Classification using Machine Learning Techniques, Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP). Paul, M. J., Zhai, C., Girju, R. 2010. Summarizing Contrastive Viewpoints in Opinionated Text. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP). Schon, D.A., and Rien, M. 1994. Frame reflection: Toward the resolution of intractable policy controversies. New York: Basic Books. Y. Seki, D. Evans, L. Ku, L. Sun, H. Chen, and N. Kando. 2008. Overview of Multilingual Opinion Analysis Task at NTCIR-7. In Proceedings of 7th NTCIR Evaluation Workshop, pages 185203 Kwangseob Shim and Jaehyung Yang. 2002. MACH : A Supersonic Korean Morphological Analyzer, Proceedings of the 19th International Conference on Computational Linguistics (COLING-2002), pp.939-945. Swapna Somasundaran and Janyce Wiebe. 2009. Recognizing stances in online debates. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 226– 234, Suntec, Singapore, August. Association for Computational Linguistics. Swapna Somasundaran and Janyce Wiebe. 2010. Recognizing stances in ideological online debates. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to 349 Analysis and Generation of Emotion in Text (CAAGET ’10). Matt Thomas, Bo Pang, and Lillian Lee. 2006. Get outthe vote: Determining support or opposition from congressional floor-debate transcripts. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 327–335, Sydney, Australia, July. Association for Computational Linguistics. Turney, Peter D. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews, Proceedings of ACL-02, Philadelphia, Pennsylvania, 417424 Wiebe, Janyce M., Bruce, Rebecca F., & O'Hara, Thomas P. 1999. Development and use of a gold standard data set for subjectivity classifications. In Proc. 37th Annual Meeting of the Assoc. for Computational Linguistics (ACL-99). June, pp. 246-253. T. Wilson, J. Wiebe, and P. Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).