MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion

MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion

Named entity recognition (NER) is a subtask in natural language processing, and its accuracy greatly affects the effectiveness of downstream tasks. Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition tasks, this paper proposes a multifeature ada...

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Bibliographic Details
Main Authors: Xuming Han, Feng Zhou, Zhiyuan Hao, Qiaoming Liu, Yong Li, Qi Qin
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6696064
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