Fusion of Multi-headed Self-attention for Traditional Chinese Medicine Knowledge Graph Representation Learning-Reference-Cited by-同舟云学术

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Fusion of Multi-headed Self-attention for Traditional Chinese Medicine Knowledge Graph Representation Learning

Published:2023-07-05 Issue: Volume: Page:
ISSN:
Container-title:2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)
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Author:

Lin Yiying¹,Lin Feng¹,Yang Yu¹,Shi Dongsheng¹,Chen Qianzhong¹,Zhu Wentao¹,Li Dongmei¹,Zhang Xiaoping²

Affiliation:

1. Beijing Forestry University,Engineering Research Center for Forestry-oriented Intelligent Information Processing, National Forestry and Grassland Administration,Beijing,China,100083

2. China Academy of Chinese Medical Sciences,National Data Center of Traditional Chinese Medicine,Beijing,China,100700

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223724/10223732/10223765.pdf?arnumber=10223765

Reference22 articles.

1. ResNeSt: Split-Attention Networks

2. Pre-Training With Whole Word Masking for Chinese BERT

3. A Review of Named Entity Identification Methods Research[J];li;Journal of Frontiers of Computer Science & Technology,2022

4. Deep Residual Learning for Image Recognition

5. Knowledge Graph Embedding for Link Prediction

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