Lexicon-enhanced transformer with spatial-aware integration for Chinese named entity recognition
Abstract Chinese Named Entity Recognition (CNER) is a fundamental and crucial task in information extraction. In recent years, pre-trained language and lexicon-based models have proven more powerful than the previous character-based models in CNER tasks. However, existing lexicon-enhanced BERT model...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01953-2 |
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