Investigating Prompt Learning for Chinese Few-Shot Text Classification with Pre-Trained Language Models

Investigating Prompt Learning for Chinese Few-Shot Text Classification with Pre-Trained Language Models

Text classification aims to assign predefined labels to unlabeled sentences, which tend to struggle in real-world applications when only a few annotated samples are available. Previous works generally focus on using the paradigm of meta-learning to overcome the classification difficulties brought by...

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Bibliographic Details
Main Authors: Chengyu Song, Taihua Shao, Kejing Lin, Dengfeng Liu, Siyuan Wang, Honghui Chen
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
few-shot learning
prompt learning
template generation
demonstration learning
Online Access:https://www.mdpi.com/2076-3417/12/21/11117

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https://www.mdpi.com/2076-3417/12/21/11117

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