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A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13338))

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Abstract

Named Entity Recognition is the research foundation of many Natural Language Processing sub-tasks. Named Entity Recognition for Chinese social media is to identify entity nouns such as person names, place names, and organization names in Chinese Social Media corpus. Due to the non-standardization of Chinese Social Media texts and the small size of the corpus, the accuracy of entity recognition will be affected. In this review, aiming at the above issues, we first introduce the historical development and research background of Chinese named entity recognition. Then, we investigate the latest improvement methods of Chinese named entity recognition for social media, and divide these improvement methods into methods to improve model recognition performance with external knowledge and methods to enhance internal knowledge to improve model performance. Finally, we summarize the challenges Chinese named entity recognition in social media based on deep learning, and propose the future development direction for these challenges.

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Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant No.62162024 and No. 62162022), Key Projects in Hainan Province (Grant No. ZDYF2021GXJS003 and No. ZDYF2020040), the Major science and technology project of Hainan Province(Grant No.ZDKJ2020012) and Graduate Innovation Project (Grant No.Qhys2021–187).

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Authors and Affiliations

  1. School of Computer Science and Technology, Hainan University, Haikou, 570228, China

    Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou & Chenli Shen

  2. Hainan Blockchain Technology Engineering Research Center, Hainan University, Haikou, 570228, China

    Jieren Cheng

  3. Department of Computer Science, Texas Tech University, Lubbock, TX, 79409, USA

    Victor S. Sheng

Authors
  1. Jingxin Liu
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  2. Jieren Cheng
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  3. Ziyan Wang
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  4. Congqiang Lou
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  5. Chenli Shen
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  6. Victor S. Sheng
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Corresponding author

Correspondence to Jieren Cheng .

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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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Liu, J., Cheng, J., Wang, Z., Lou, C., Shen, C., Sheng, V.S. (2022). A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13338. Springer, Cham. https://doi.org/10.1007/978-3-031-06794-5_46

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  • DOI: https://doi.org/10.1007/978-3-031-06794-5_46

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-06794-5

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