BriefGPT.xyz
Jul, 2023
基于词组搜索的自动对抗样本增强方法用于文本分类鲁棒性提升
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search
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Rui Song, Fausto Giunchiglia, Yingji Li, Hao Xu
TL;DR
本文提出一种新的基于词组挖掘的方法,用于解决大规模预训练语言模型的词汇捷径问题,建立反事实的语义增强机制并应用自适应投票机制,能够更准确地识别有效的因果特征,进而提升模型的分类效果。
Abstract
Despite large-scale
pre-trained language models
have achieved striking results for text classificaion, recent work has raised concerns about the challenge of
shortcut learning
. In general, a keyword is regarded a
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