Chinese named entity recognition with multi-network fusion of multi-scale lexical information
Named entity recognition (NER) is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs. In today's Chinese named entity recognition (CNER) task, the BERT-BiLSTM-CRF model is widely used and often yields notable results. However, recognizing each e...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2024-12-01
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Series: | Journal of Electronic Science and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674862X24000557 |
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