运用提示学习识别社交媒体中的冒犯性语言。

Leilei Su, Yifan Peng, Zezheng Wang, Cong Sun
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引用次数: 0

摘要

冒犯性语言是指在公共场所使用可能冒犯或伤害他人的语言。鉴于在社交媒体中识别此类语言对于促进情绪健康的重要性,我们提出了一种快速学习方法,并将其性能与两个广泛使用的数据集(HatEval和OffensEval)的微调进行了比较。实验结果表明,在完全监督的情况下,快速学习比微调更能提高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Offensive Language in Social Media Using Prompt Learning.

Offensive language refers to the use of language in a manner that may offend or harm others who are within earshot or view in a public place. Given the importance of identifying such language in social media for promoting emotional well-being, we propose a prompt learning method and compare its performance with fine-tuning on two widely used datasets, HatEval and OffensEval. Experimental results demonstrate that prompt learning can achieve a performance improvement over fine-tuning in a fully supervised setting.

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