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  • 标题:IIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification inTamil,Malayalam andKannada
  • 本地全文:下载
  • 作者:Nikhil Ghanghor ; Parameswari Krishnamurthy ; Sajeetha Thavareesan
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2021
  • 卷号:2021
  • 页码:222-229
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:This paper describes the IIITK team’s submissions to the offensive language identification, and troll memes classification shared tasks for Dravidian languages at DravidianLangTech 2021 workshop@EACL 2021. Our best configuration for Tamil troll meme classification achieved 0.55 weighted average F1 score, and for offensive language identification, our system achieved weighted F1 scores of 0.75 for Tamil, 0.95 for Malayalam, and 0.71 for Kannada. Our rank on Tamil troll meme classification is 2, and offensive language identification in Tamil, Malayalam and Kannada are 3, 3 and 4 respectively.
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