Research on the Classification Method of CTC Alignment Joint-Test Problems Based on RoBERTa-wwm and Deep Learning Integration
A text classification method based on RoBERTa-wwm and deep learning integration is proposed for fast classification of the massive unstructured problematic text data generated during the alignment joint-test of CTC (Centralized Traffic Control). Firstly, 10 common types of problems were summarized b...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10347211/ |