BERT-Based Chinese Named Entity Recognition Method in Motor Field

For motor-related texts, accuracy of Named Entity Recognition(NER) is relatively low. A method for Chinese NER based on a BERT pre-training language model is proposed. The BERT model is used to enhance the semantic representation of words and dynamically generate word vectors based on context featur...

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Bibliographische Detailangaben
1. Verfasser: GU Yiran, HUO Jianlin, YANG Haigen, LU Yifei, GUO Yuwen
Format: Artigo
Sprache:Inglês
Veröffentlicht: Editorial Office of Computer Engineering 2021-08-01
Schriftenreihe:Jisuanji gongcheng
Schlagworte:
named entity recognition(ner)|bert pre-training language model|motor field|deep learning|transfer learning
Online Zugang:https://www.ecice06.com/fileup/1000-3428/PDF/20210810.pdf
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