Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI

IF 4.7 2区社会学 Q1 POLITICAL SCIENCE

Political Analysis Pub Date : 2023-06-09 DOI:10.1017/pan.2023.20

Moritz Laurer, Wouter van Atteveldt, Andreu Casas, Kasper Welbers

引用次数: 28

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少注释，多分类:用深度迁移学习和BERT-NLI解决监督机器学习的数据稀缺问题

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Political Analysis POLITICAL SCIENCE-

CiteScore

8.80

自引率

3.70%

发文量

期刊介绍： Political Analysis chronicles these exciting developments by publishing the most sophisticated scholarship in the field. It is the place to learn new methods, to find some of the best empirical scholarship, and to publish your best research.