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A Survey of Chinese Anaphora Resolution

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Abstract

Chinese anaphora resolution technology has been widely used in many natural language processing tasks, such as machine translation, information extraction and automatic text summarization. In this paper, we first introduce the resources for anaphora resolution, and then present the existing works on Chinese noun phrase resolution based on machine learning, deep learning and reinforcement learning techniques by analyzing the similarities and differences among them. Finally, we discuss the future development trend of Chinese anaphora resolution.

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Acknowledgments

The authors thank the anonymous reviewers for their constructive suggestions which have resulted in improvement on the presentations. This research is supported by the National Science Foundation of China (grant 61772278, author: Qu, W.; grand number: 61472191, author: Zhou, J. http://www.nsfc.gov.cn/), the National Social Science Foundation of China (grant number: 18BYY127, author: Li B. http://www.cssn.cn) and Jiangsu Higher Institutions’ Excellent Innovative Team for Philosophy and Social Science (grand number: 2017STD006, author: Qu, W. http://jyt.jiangsu.gov.cn).

Author information

Authors and Affiliations

  1. School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, 210023, China

    Shengnan Li, Weiguang Qu, Junsheng Zhou & Yanhui Gu

  2. School of Chinese Language and Literature, Nanjing Normal University, Nanjing, 210097, China

    Weiguang Qu, Tingxin Wei & Bin Li

  3. International College for Chinese Studies, Nanjing Normal University, Nanjing, 210097, China

    Tingxin Wei

Authors
  1. Shengnan Li
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  2. Weiguang Qu
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  4. Junsheng Zhou
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  5. Yanhui Gu
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  6. Bin Li
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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Li, S., Qu, W., Wei, T., Zhou, J., Gu, Y., Li, B. (2021). A Survey of Chinese Anaphora Resolution. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12736. Springer, Cham. https://doi.org/10.1007/978-3-030-78609-0_16

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  • DOI: https://doi.org/10.1007/978-3-030-78609-0_16

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