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/

Internet

https://ieeexplore.ieee.org/document/10440286/

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