A Knowledge-enhanced Generative Summary Model for Audit News
To address the problem that existing summary generation models do not fully understand audit news and tend to lose key information, a summary generation model (text rank and bart with knowledge enhancement model, TRB-KE) that combines knowledge enhancement and generative summary model is proposed. T...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2024-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2381 |
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