Contrastive meta-learning framework for few-shot cross-lingual text classification
Many security risk control issues, such as public opinion analysis in international scenarios, have been identified as text classification problems, which are challenging due to the involvement of multiple languages. Previous studies have demonstrated that the performance of few-shot text classifica...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2024-06-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024043 |
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