Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages 2022
DOI: 10.18653/v1/2022.dravidianlangtech-1.21
|View full text |Cite
|
Sign up to set email alerts
|

SSN_MLRG1@DravidianLangTech-ACL2022: Troll Meme Classification in Tamil using Transformer Models

Abstract: The ACL shared task of DravidianLangTech-2022 for Troll Meme classification is a binary classification task that involves identifying Tamil memes as troll or not-troll. Classification of memes is a challenging task since memes express humour and sarcasm in an implicit way. Team SSN_MLRG1 tested and compared results obtained by using three models namely BERT, ALBERT and XLNet. The XL-Net model outperformed the other two models in terms of various performance metrics. The proposed XLNet model obtained the 3rd ra… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 13 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?