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International Conference on Machine Learning for Cyber Security

ML4CS 2020: Machine Learning for Cyber Security pp 42–55Cite as

Research on Progress and Inspiration of Entity Relation Extraction in English Open Domain

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12487))

Abstract

In the era of big data, how to extract unrestricted type of entity relations from open domain text is a challenging topic. In order to further understand related deep issues, this paper summarized the latest progress in the field of English entity relation extraction, ranging from binary to n-ary entity relation extraction; furthermore, some milestone systems are introduced in detail. This paper makes a preliminary exploration on the extraction of entity relations in the Chinese open domain. In particular, the inspiration of English to Chinese has also promoted the development of Chinese entity relation extraction.

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Acknowledgement

This research was partly supported by Yunnan Normal University Graduate Research and innovation fund in 2020.

Author information

Authors and Affiliations

  1. Key Laboratory of Educational Informatization for Nationalities (YNNU), Kunming, 650500, China

    Xu Jian & Gan Jianhou

  2. School of Information Engineering, QuJing Normal University, Qujing, 655011, China

    Xu Jian & Yao Xianming

  3. School of Information Science and Technology, Yunnan Normal University, Kunming, 650500, China

    Sun Yu

Authors
  1. Xu Jian
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  2. Yao Xianming
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  3. Gan Jianhou
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  4. Sun Yu
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Corresponding author

Correspondence to Yao Xianming .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Xiaofeng Chen

  2. Guangzhou University, Guangzhou, China

    Hongyang Yan

  3. Michigan State University, East Lansing, MI, USA

    Qiben Yan

  4. Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science, Thuwal, Saudi Arabia

    Xiangliang Zhang

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Jian, X., Xianming, Y., Jianhou, G., Yu, S. (2020). Research on Progress and Inspiration of Entity Relation Extraction in English Open Domain. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12487. Springer, Cham. https://doi.org/10.1007/978-3-030-62460-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-62460-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62459-0

  • Online ISBN: 978-3-030-62460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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