Chinese named entity recognition model based on BERT
| Autor: | Liu Hongshuai, Jun Ge, Zheng Yuanyuan |
|---|---|
| Jazyk: | English<br />French |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | MATEC Web of Conferences, Vol 336, p 06021 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2261-236X 20213360 |
| DOI: | 10.1051/matecconf/202133606021 |
| Popis: | Nowadays, most deep learning models ignore Chinese habits and global information when processing Chinese tasks. To solve this problem, we constructed the BERT-BiLSTM-Attention-CRF model. In the model, we embeded the BERT pre-training language model that adopts the Whole Word Mask strategy, and added a document-level attention. Experimental results show that our method achieves good results in the MSRA corpus, and F1 reaches 95.00%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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