Research on Named Entity Recognition of Named TCM Clinical Medical Records Based on RoBERTa-wwm Adaptive Word Embedding

您当前的位置：

首页 >

文章列表页 >

更新时间：2023-01-19

- Research on Named Entity Recognition of Named TCM Clinical Medical Records Based on RoBERTa-wwm Adaptive Word Embedding
- Software Guide Vol. 21, Issue 12, Pages: 58-62(2022)
- 作者机构：
  
  1.南京中医药大学人工智能与信息技术学院
  2.南京中医药大学第二附属医院(江苏省第二中医院)
  3.南京中医药大学护理学院,江苏南京 210046
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.221726
  CLC：
扫描看全文
万泽宇,龚庆悦,李铁军等.基于自适应词嵌入RoBERTa-wwm的名中医临床病历命名实体识别研究[J].软件导刊,2022,21(12):58-62.

WAN Ze-yu,GONG Qing-yue,LI Tie-jun,et al.Research on Named Entity Recognition of Named TCM Clinical Medical Records Based on RoBERTa-wwm Adaptive Word Embedding[J].Software Guide,2022,21(12):58-62.
万泽宇,龚庆悦,李铁军等.基于自适应词嵌入RoBERTa-wwm的名中医临床病历命名实体识别研究[J].软件导刊,2022,21(12):58-62. DOI： 10.11907/rjdk.221726.

WAN Ze-yu,GONG Qing-yue,LI Tie-jun,et al.Research on Named Entity Recognition of Named TCM Clinical Medical Records Based on RoBERTa-wwm Adaptive Word Embedding[J].Software Guide,2022,21(12):58-62. DOI： 10.11907/rjdk.221726.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Named Entity Recognition Method for Folk Literature Texts

Named Entity Recognition Method Research Based on the Deep Learning

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

Named Entity Recognition Based on Character Embedding and BiGRU

Chinese Entity Relation Extraction Method Based on Schema Enhancement

Related Author

No data

Related Institution

School of Information Science and Engineering， Yunnan University

Yunnan Key Laboratory of Intelligent Systems and Computing

School of Chinese Language and Literature， Yunnan University

School of Software，Dalian University of Foreign Languages

School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine

⁰