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Aug, 2023
I-WAS: GPT-2进行明喻检测的数据增强方法
I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection
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Yongzhu Chang, Rongsheng Zhang, Jiashu Pu
TL;DR
通过基于GPT-2语言模型的单词替换和句子完成的拟态数据增强方法,本研究提出了一种改进的方法I-WAS,旨在改善拟态句子的质量,为真实世界的应用提供更多样化的拟态形式的语料库,并通过实验结果证明了该数据增强方法在拟态检测中的有效性。
Abstract
simile detection
is a valuable task for many natural language processing (NLP)-based applications, particularly in the field of literature. However, existing research on
simile detection
often relies on corpora t
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