Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention by Jigui Zhao, Yurong Qian, Shuxiang Hou, Jiayin Chen, Kui Wang, Min Liu, Aizimaiti Xiaokaiti

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MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion by Xuming Han, Feng Zhou, Zhiyuan Hao, Qiaoming Liu, Yong Li, Qi Qin

“…Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition tasks, this paper proposes a multifeature adaptive fusion Chinese named entity recognition (MAF-CNER) model. The model uses bidirectional long short-term memory (BiLSTM) neural network to extract stroke and radical features and adopts a weighted concatenation method to fuse two sets of features adaptively. …”
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Typical and atypical metabolic characteristics of three iridaceae isoflavone components: in vitro and in silico studies by Jifeng Gu, Jifeng Gu, Huishan Zhang, Mei Wang, Yuyang Zhou, Yuyang Zhou, Zhipeng Deng, Rong Shi

“…BackgroundBelamcanda chinensis (L.) DC (Chinese name Shegan) has been widely used because of its pharmacological activity and remarkable therapeutic effects in sore throat. …”
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Introduction: Content, Design and Structure of Major Databases with Historical Longitudinal Population Data by George Alter, Kees Mandemakers, Hélène Vézina

“…Some databases describe special problems, like linking Chinese names, handwritten text recognition or the construction of a release in IDS-format. …”
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A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records by Qiuli Qin, Shuang Zhao, Chunmei Liu

“…Excellent research results have been achieved in the field of named entity recognition (NER), but there are several problems in the pre processing of Chinese named entities that have multiple meanings, of which neglecting the combination of contextual information is one. …”
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Fusion Features-Based Entity Recognition Method for Safety Knowledge of Non-Coal Open-Pit Mine by Ziji Ma, Rui Zhao, Jianhua Huang, Shicheng Liu, Feilong Wang, Zhikang Shuai

“…A word-level enhancement feature SoftLexicon is adopted to solve the problem of flat entity boundary generated by character sequence model in Chinese named entity recognition. Then, the SoftLexicon feature information is dynamically weighted and fused using a self-attention mechanism. …”
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