Stance Detection Attending External Knowledge from Wikipedia

Author:

Hanawa Kazuaki12,Sasaki Akira3,Okazaki Naoaki4,Inui Kentaro12

Affiliation:

1. RIKEN Center for Advanced Intelligence Project

2. Tohoku University

3. Recruit Technologies Co., Ltd.

4. Tokyo Institute of Technology

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference28 articles.

1. [1] Mohammad, S., Kiritchenko, S., Sobhani, P., Zhu, X. and Cherry, C.: Semeval-2016 task 6: Detecting stance in tweets, Proc. 10th International Workshop on Semantic Evaluation (SemEval), pp.31-41 (2016).

2. [2] Thomas, M., Pang, B. and Lee, L.: Get out the vote: Determining support or opposition from Congressional floor-debate transcripts, Proc. 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.327-335 (2006).

3. [3] Murakami, A. and Raymond, R.: Support or oppose?: Classifying positions in online debates from reply activities and opinion expressions, Proc. 23rd International Conference on Computational Linguistics (COLING), pp.869-875 (2010).

4. [4] Somasundaran, S. and Wiebe, J.: Recognizing stances in ideological on-line debates, Proc. NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp.116-124 (2010).

5. [5] Abu-Jbara, A., Dasigi, P., Diab, M. and Radev, D.: Subgroup Detection in Ideological Discussions, Proc. 50th Annual Meeting of the Association for Computational Linguistics (ACL), pp.399-409 (2012).

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