Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification

Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification

Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a masked language modeling prompt using a template, queries a fine-tuned language model to fill in the mask, and the...

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Bibliographic Details
Main Authors:	Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Few-shot learning multi-label classification natural language processing prompt-based learning text classification verbalizer
Online Access:	https://ieeexplore.ieee.org/document/10440286/

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