FPT: Feature Prompt Tuning for Few-shot Readability Assessment

arXiv:2404.02772v1 Announce Type: new
Abstract: Prompt-based methods have achieved promising results in most few-shot text classification tasks. However, for readability assessment tasks, traditional prompt methods lackcrucial linguistic knowledge, which has already been proven to be essential. Moreover, previous studies on utilizing linguistic features have shown non-robust performance in few-shot settings and may even impair model performance.To address these issues, we propose a novel prompt-based tuning framework that incorporates rich linguistic knowledge, called Feature Prompt Tuning (FPT). Specifically, we extract linguistic …

abstract arxiv assessment classification cs.cl feature features few-shot however knowledge performance prompt prompt tuning readability results robust studies tasks text text classification type