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Hypers@DravidianLangTech-EACL2021: Offensive language identification in Dravidian code-mixed YouTube Comments and Posts

机译:Hypers @ Dravidianlangtech-EACL2021:Dravidian Code-Mixed YouTube评论和帖子中的攻击性语言识别

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摘要

According to the use of Code-Mixed Offensive contents in social media posts, this study has the focus on such contents in low-resourced Dravidian languages such as Tamil, Kannada, and Malayalam using the bidirectional approach and fine-tuning strategies. Our proposed model got a 0.96 F1-score for Malayalam, 0.73 F1-score for Tamil, and 0.70 F1-score for Kannada based on the benchmark leader-board. Moreover, in the view of multilingual models, our modal ranked 3rd and achieved favorable results and confirmed the model as the best among all systems submitted to these shared tasks in these three languages.
机译:根据社交媒体帖子中的代码混合冒犯内容的使用,本研究侧重于使用双向方法和微调策略等泰米尔,kannada和马拉雅拉姆等低调驱动语言中的此类内容。 我们拟议的模型为Malayalam的0.96 F1分数,泰米尔0.73 F1分数,基于基准领导板的Kannada为0.70 F1分数。 此外,在多语言模型的看法中,我们的模态排名第3并取得了有利的结果,并确认了这些模型在这三种语言中提交给这些共享任务的所有系统中最好的模型。

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