Named Entity Recognition of TCM Classics Based on SiKuBERT and Multi-Feature Embedding
Author:
Affiliation:
1. Software College Xinjiang University,Urumqi,China
2. College of Arts Taiyuan University of Technology,Taiyuan,China
Funder
Xinjiang University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10134762/10135176/10135391.pdf?arnumber=10135391
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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