Low Resource Summarization Model Based on Latent Structural Semantic En-hancement
At present, low-resource summary generation tasks are usually processed by data enhancement or pre-training combined with fine-tuning, which cannot make full use of the latent structural semantic information between the source text and the target summary. For this reason, this paper proposes a low r...
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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2023-08-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2205064.pdf |