基于Bert模型的土耳其语推文攻击性语言检测

Anil Özberk, I. Çiçekli
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引用次数: 10

摘要

随着网络平台上侮辱性言论的增加,这些负面言论产生了一种反应,扰乱了社会的安宁。近年来,攻击性语言检测的研究有所增加。本文探讨了使用BERT模型和微调技术对土耳其推文攻击性语言检测的影响。我们强调预训练模型对下游任务性能的重要性以及所使用的BERT模型的重要性。
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Offensive Language Detection in Turkish Tweets with Bert Models
As the insulting statements increase on the online platform, these negative statements create a reaction and disturb the peace of society. Offensive language detection research has been increased in recent years. This paper explores the effects of the usage of BERT models and fine-tuning techniques on offensive language detection on Turkish tweets. We emphasize the pre-trained model importance on the performance of a downstream task and the importance of the used BERT model.
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