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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Hlavní autoři:	Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Few-shot learning multi-label classification natural language processing prompt-based learning text classification verbalizer
On-line přístup:	https://ieeexplore.ieee.org/document/10440286/
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