The following publications are possibly variants of this publication:
- Fusion of Multiple Features for Chinese Named Entity Recognition Based on CRF ModelYuejie Zhang, Zhiting Xu, Tao Zhang. flairs 2008: 95-106 [doi]
- A Chinese Named Entity Recognition Method Based on Fusion of Character and Word FeaturesWenguang Chai, Jiazhen Wang. icait 2022: 308-313 [doi]
- Entity Recognition of Chinese Medical Literature Based on BiLSTM-CRF and Fusion FeaturesJinshan Zhang, Yu-Tai Wang, Xing-Hai Yang, Fengjiao Wang. icbdt 2020: 107-111 [doi]
- Chinese Named Entity Recognition Based on Multilevel Linguistic FeaturesHonglei Guo, Jianmin Jiang, Gang Hu, Tong Zhang. ijcnlp 2005: 90-99 [doi]
- Action recognition based on hybrid featuresHong Han, Honglei Zhang, Jianyin Gu, Fuqiang Xie. fusion 2012: 621-626 [doi]
- Multi-level semantic fusion network for Chinese medical named entity recognitionJintong Shi, Mengxuan Sun, Zhengya Sun, Mingda Li, Yifan Gu, Wensheng Zhang. jbi, 133:104144, 2022. [doi]
- Chinese Named Entity Recognition Incorporating Multi-scale FeaturesJingxin Liu, Jieren Cheng, Bo Wu, Dongwan Xia, Dengfang Feng, Xiulai Li. dmbd 2021: 336-347 [doi]
- Exploiting rich features for Chinese named entity recognitionJianping Shen, Xuan Wang 0002, Shaofeng Li, Lin Yao. iske 2010: 278-282 [doi]
- Chinese Named Entity Recognition with new contextual featuresYing Qin, Taozheng Zhang, Xiaojie Wang. nlpke 2008: 1-6 [doi]