3 papers with code • 1 benchmarks • 1 datasets
Meme classification refers to the task of classifying internet memes.
Since there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U. S. presidential election and created the MultiOFF multimodal meme dataset for offensive content detection dataset.
Memes on the Internet are often harmless and sometimes amusing.
Ranked #1 on Meme Classification on Hateful Memes (using extra training data)
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.