A Chinese Nested Named Entity Recognition Model for Chicken Disease Based on Multiple Fine-Grained Feature Fusion and Efficient Global Pointer.
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| Title: | A Chinese Nested Named Entity Recognition Model for Chicken Disease Based on Multiple Fine-Grained Feature Fusion and Efficient Global Pointer. |
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| Authors: | Wang, Xiajun1,2, 202221108012240@stu.hubu.edu.cnlinliqun16@hubu.edu.cn, Peng, Cheng1,3,4, liqf@nercita.org.cnpengc@nercita.org.cn, Li, Qifeng1,3,4, yuqy@nercita.org.cn, Yu, Qinyang1,3,4, 202221108012231@stu.hubu.edu.cn, Lin, Liqun2, Li, Pingping1,2, gaorh@nercita.org.cn, Gao, Ronghua1,3,4, wuwb@nercita.org.cn, Wu, Wenbiao1,3,4, jiangrx@nercita.org.cn, Jiang, Ruixiang1,3,4, yulg@nercita.org.cn, Yu, Ligen1,3,4, dingly@nercita.org.cn, Ding, Luyu1,3,4, zhul@nercita.org.cn, Zhu, Lei1,3,4 |
| Source: | Applied Sciences (2076-3417); Sep2024, Vol. 14 Issue 18, p8495, 23p |
| Database: | Applied Science & Technology Source |
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| ISSN: | 20763417 |
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| DOI: | 10.3390/app14188495 |
