A Chinese Few-Shot Text Classification Method Utilizing Improved Prompt Learning and Unlabeled Data
Insufficiently labeled samples and low-generalization performance have become significant natural language processing problems, drawing significant concern for few-shot text classification (FSTC). Advances in prompt learning have significantly improved the performance of FSTC. However, prompt learni...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2023-03-01
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| Rangatū: | Applied Sciences |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2076-3417/13/5/3334 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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