A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines
With the Chinese data for solid rocket engines, traditional named entity recognition cannot be used to learn both character features and contextual sequence-related information from the input text, and there is a lack of research on the advantages of dual-channel networks. To address this problem, t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/3/752 |
| _version_ | 1797624767289753600 |
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| author | Zhiqiang Zheng Minghao Liu Zhi Weng |
| author_facet | Zhiqiang Zheng Minghao Liu Zhi Weng |
| author_sort | Zhiqiang Zheng |
| collection | DOAJ |
| description | With the Chinese data for solid rocket engines, traditional named entity recognition cannot be used to learn both character features and contextual sequence-related information from the input text, and there is a lack of research on the advantages of dual-channel networks. To address this problem, this paper proposes a BERT-based dual-channel named entity recognition model for solid rocket engines. This model uses a BERT pre-trained language model to encode individual characters, obtaining a vector representation corresponding to each character. The dual-channel network consists of a CNN and BiLSTM, using the convolutional layer for feature extraction and the BiLSTM layer to extract sequential and sequence-related information from the text. The experimental results showed that the model proposed in this paper achieved good results in the named entity recognition task using the solid rocket engine dataset. The accuracy, recall and F1-score were 85.40%, 87.70% and 86.53%, respectively, which were all higher than the results of the comparison models. |
| first_indexed | 2024-03-11T09:47:08Z |
| format | Article |
| id | doaj.art-9fdae561ee104deebc2e0677e4c63ad2 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T09:47:08Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-9fdae561ee104deebc2e0677e4c63ad22023-11-16T16:30:59ZengMDPI AGElectronics2079-92922023-02-0112375210.3390/electronics12030752A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket EnginesZhiqiang Zheng0Minghao Liu1Zhi Weng2College of Electronic and Information Engineering, Inner Mongolia University, Hohhot 010021, ChinaCollege of Electronic and Information Engineering, Inner Mongolia University, Hohhot 010021, ChinaCollege of Electronic and Information Engineering, Inner Mongolia University, Hohhot 010021, ChinaWith the Chinese data for solid rocket engines, traditional named entity recognition cannot be used to learn both character features and contextual sequence-related information from the input text, and there is a lack of research on the advantages of dual-channel networks. To address this problem, this paper proposes a BERT-based dual-channel named entity recognition model for solid rocket engines. This model uses a BERT pre-trained language model to encode individual characters, obtaining a vector representation corresponding to each character. The dual-channel network consists of a CNN and BiLSTM, using the convolutional layer for feature extraction and the BiLSTM layer to extract sequential and sequence-related information from the text. The experimental results showed that the model proposed in this paper achieved good results in the named entity recognition task using the solid rocket engine dataset. The accuracy, recall and F1-score were 85.40%, 87.70% and 86.53%, respectively, which were all higher than the results of the comparison models.https://www.mdpi.com/2079-9292/12/3/752solid rocket enginesnamed entity recognitionBERT pre-trained language modeldual-channel network model |
| spellingShingle | Zhiqiang Zheng Minghao Liu Zhi Weng A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines Electronics solid rocket engines named entity recognition BERT pre-trained language model dual-channel network model |
| title | A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines |
| title_full | A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines |
| title_fullStr | A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines |
| title_full_unstemmed | A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines |
| title_short | A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines |
| title_sort | chinese bert based dual channel named entity recognition method for solid rocket engines |
| topic | solid rocket engines named entity recognition BERT pre-trained language model dual-channel network model |
| url | https://www.mdpi.com/2079-9292/12/3/752 |
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