A Chinese named entity recognition model incorporating recurrent cell and information state recursion
Abstract Chinese is characterized by high syntactic complexity, chaotic annotation granularity, and slow convergence. Joint learning models can effectively improve the accuracy of Chinese Named Entity Recognition (NER), but they focus too much on local feature information and reduce the ability of l...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Nature Portfolio
2024-03-01
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| سلاسل: | Scientific Reports |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-024-56166-3 |
| الوسوم: |
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