Exploring Named Entity Recognition via MacBERT-BiGRU and Global Pointer with Self-Attention
Chengzhe Yuan,
Feiyi Tang,
Chun Shan
et al.
Abstract: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, these models still face limitations in terms of their scalability and adaptability, especially when dealing with complex linguistic phenomena such as nested entities and long-range dependencies. To address these c… Show more
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