PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners

• URL: http://arxiv.org/abs/2205.09229v3
• Date: Wed, 22 Mar 2023 21:10:42 GMT
• Title: PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
• Authors: Canyu Chen, Kai Shu
• Abstract summary: We propose a novel label-guided data augmentation framework, PromptDA, which exploits the enriched label semantic information for data augmentation. Our experiment results on few-shot text classification tasks demonstrate the superior performance of the proposed framework.
• Score: 15.130992223266734
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Recent advances in large pre-trained language models (PLMs) lead to impressive gains in natural language understanding (NLU) tasks with task-specific fine-tuning. However, directly fine-tuning PLMs heavily relies on sufficient labeled training instances, which are usually hard to obtain. Prompt-based tuning on PLMs has shown to be powerful for various downstream few-shot tasks. Existing works studying prompt-based tuning for few-shot NLU tasks mainly focus on deriving proper label words with a verbalizer or generating prompt templates to elicit semantics from PLMs. In addition, conventional data augmentation strategies such as synonym substitution, though widely adopted in low-resource scenarios, only bring marginal improvements for prompt-based few-shot learning. Thus, an important research question arises: how to design effective data augmentation methods for prompt-based few-shot tuning? To this end, considering the label semantics are essential in prompt-based tuning, we propose a novel label-guided data augmentation framework PromptDA, which exploits the enriched label semantic information for data augmentation. Extensive experiment results on few-shot text classification tasks demonstrate the superior performance of the proposed framework by effectively leveraging label semantics and data augmentation for natural language understanding. Our code is available at https://github.com/canyuchen/PromptDA.

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