Named Entity Recognition of TCM Classics Based on SiKuBERT and Multi-Feature Embedding

Author:

Wu Ziwei1,Liu Yuxuan2,Huo Qingao1,Zhang Wendong1

Affiliation:

1. Software College Xinjiang University,Urumqi,China

2. College of Arts Taiyuan University of Technology,Taiyuan,China

Funder

Xinjiang University

Publisher

IEEE

Reference15 articles.

1. Study on Named Entity Recognition of Traditional Chinese Medicine Classics: Taking SikuBERT Pre-training Model Enhanced by the Flat-lattice Transformer for Example [J];xie;Library Tribune,2022

2. MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

3. Construction and Application of Pre-trained Models of Siku Quanshu in Orientation to Digital Humanities[J];wang;Library Tribune,2022

4. FLAT: Chinese NER Using Flat-Lattice Transformer

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