Exploring Named Entity Recognition via MacBERT-BiGRU and Global Pointer with Self-Attention
Named Entity Recognition (NER) is a fundamental task in natural language processing that aims to identify and categorize named entities within unstructured text. In recent years, with the development of deep learning techniques, pre-trained language models have been widely used in NER tasks. However...
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          | Main Authors: | Chengzhe Yuan, Feiyi Tang, Chun Shan, Weiqiang Shen, Ronghua Lin, Chengjie Mao, Junxian Li | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-12-01 | 
| Series: | Big Data and Cognitive Computing | 
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/8/12/179 | 
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