Chinese Medical Named Entity Recognition Based on Semi-Supervised Learning and RoBERTa Multi-layer Representation Fusion

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更新时间：2023-05-29

- Chinese Medical Named Entity Recognition Based on Semi-Supervised Learning and RoBERTa Multi-layer Representation Fusion
- Software Guide Vol. 22, Issue 5, Pages: 23-28(2023)
- 作者机构：
  
  1.南京中医药大学人工智能与信息技术学院，江苏南京 210023
  2.中国科学院大学南京学院，江苏南京 211135
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.221612
  CLC：
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张帅,高晓苑,杨涛等.融合半监督学习与RoBERTa多层表征的中文医学命名实体识别[J].软件导刊,2023,22(05):23-28.

ZHANG Shuai,GAO Xiao-yuan,YANG Tao,et al.Chinese Medical Named Entity Recognition Based on Semi-Supervised Learning and RoBERTa Multi-layer Representation Fusion[J].Software Guide,2023,22(05):23-28.
张帅,高晓苑,杨涛等.融合半监督学习与RoBERTa多层表征的中文医学命名实体识别[J].软件导刊,2023,22(05):23-28. DOI： 10.11907/rjdk.221612.

ZHANG Shuai,GAO Xiao-yuan,YANG Tao,et al.Chinese Medical Named Entity Recognition Based on Semi-Supervised Learning and RoBERTa Multi-layer Representation Fusion[J].Software Guide,2023,22(05):23-28. DOI： 10.11907/rjdk.221612.

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