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Exploring Various Linguistic Features for Stance Detection

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Natural Language Understanding and Intelligent Applications (ICCPOL 2016, NLPCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10102))

Abstract

In this paper, we describe our participation in the fourth shared task (NLPCC-ICCPOL 2016 Shared Task 4) on the stance detection in Chinese Micro-blogs (subtask A). Different from ordinary features, we explore four linguistic features including lexical features, morphology features, semantic features and syntax features in Chinese micro-blogs in stance classifier, and get a good performance, which ranks the third place among sixteen systems.

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Notes

  1. 1.

    http://tcci.ccf.org.cn/conference/2016/pages/page05_CFPTasks.html.

  2. 2.

    https://www.csie.ntu.edu.tw/~cjlin/libsvm/.

  3. 3.

    https://github.com/fxsjy/jieba/.

  4. 4.

    http://nlp.stanford.edu/software/lex-parser.shtml.

  5. 5.

    http://tcci.ccf.org.cn/conference/2016/dldoc/evagline4.pdf.

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Acknowledgments

In building our system, we are grateful to all the people who have helped us. Sheng Li has helped us to parse the syntax tree; Jingjing Wang, Lu Zhang, Jinghang Gu, and Qing rong Xia have provided help in programing; Shoushan Li, Zhenghua Li, and Ziwei Fan have given us insight comments etc. We also would like to thank the organizer of this shared task for hard work, especially in data annotation and preparation.

This work is supported by the National Natural Science Foundation of China (61272260), Ministry of Education China Mobile Research Foundation (MCM20150602), Jiangsu Provincial Science and Technology Plan (SBK2015022101), Huaian Applied Research and Scientific Technology Project (HAG2014025), and Huaiyin Normal University Youth Talent Support Program (13HSQNZ07).

Author information

Authors and Affiliations

  1. Soochow University, Suzhou, Jiangsu, China

    Qingying Sun, Qiaoming Zhu & Guodong Zhou

  2. Huaiyin Normal University, Huaian, Jiangsu, China

    Qingying Sun

  3. Singapore University of Technology and Design, Singapore, Singapore

    Zhongqing Wang

Authors
  1. Qingying Sun
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  2. Zhongqing Wang
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  3. Qiaoming Zhu
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  4. Guodong Zhou
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Corresponding author

Correspondence to Qiaoming Zhu .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Chin-Yew Lin

  2. Brandeis University, Waltham, Massachusetts, USA

    Nianwen Xue

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Fudan University, Shanghai, China

    Xuanjing Huang

  5. Peking University, Beijing, China

    Yansong Feng

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© 2016 Springer International Publishing AG

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Sun, Q., Wang, Z., Zhu, Q., Zhou, G. (2016). Exploring Various Linguistic Features for Stance Detection. In: Lin, CY., Xue, N., Zhao, D., Huang, X., Feng, Y. (eds) Natural Language Understanding and Intelligent Applications. ICCPOL NLPCC 2016 2016. Lecture Notes in Computer Science(), vol 10102. Springer, Cham. https://doi.org/10.1007/978-3-319-50496-4_76

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  • DOI: https://doi.org/10.1007/978-3-319-50496-4_76

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50495-7

  • Online ISBN: 978-3-319-50496-4

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