任务12:基于多语言预训练语言模型微调的低资源语言文本分类

Daniil Homskiy, N. Maloyan
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引用次数: 2

摘要

在我们的工作中,实现了一个基于多语言预训练模型的模型来解决任务。我们还考虑了各种数据预处理方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning
In our work, a model is implemented that solves the task, based on multilingual pre-trained models. We also consider various methods of data preprocessing
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