Geological Named Entity Recognition Based on MacBERT and R-Drop
The commonly used deep learning methods based on BERT pre-trained model in geological named entity recognition were character-based approaches, and could not utilize word-level information. Additionally, the dropout mechanism in neural networks might cause inconsistency between the training and infe...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Chinês |
| I whakaputaina: |
Editorial Office of Journal of Zhengzhou University (Engineering Science)
2024-05-01
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| Rangatū: | Zhengzhou Daxue xuebao. Gongxue ban |
| Ngā marau: | |
| Urunga tuihono: | http://gxb.zzu.edu.cn/Upload/PaperUpLoad/5c26b918-cafe-4b0b-8c7d-a97b518ce1e8.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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