IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-8892-1_60.html
   My bibliography  Save this book chapter

Named Entity Recognition for Chinese Construction Documents

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Xing Su

    (Zhejiang University)

  • Zirui Hong

    (Zhejiang University)

  • Qiqi Zhang

    (Zhejiang University)

  • Cong Xue

    (Zhejiang University)

  • Xu Li

    (Zhejiang University)

Abstract

Named Entity Recognition plays a critical role in many Natural Language Processing tasks such as information extraction, document classification and knowledge management. A construction document usually contains critical named entities and an effective NER method can provide a solid foundation for NLP applications, leading to a better efficiency of construction management. This paper focuses on NER for Chinese construction documents. The background and current challenges were introduced. An NER framework were proposed including the system structure, the annotation strategy and the model training approach. The result of a pilot test that implements the framework is presented and future research directions for improvements were discussed by the end of the paper.

Suggested Citation

  • Xing Su & Zirui Hong & Qiqi Zhang & Cong Xue & Xu Li, 2021. "Named Entity Recognition for Chinese Construction Documents," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 839-850, Springer.
  • Handle: RePEc:spr:sprchp:978-981-15-8892-1_60
    DOI: 10.1007/978-981-15-8892-1_60
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-15-8892-1_60. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.