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Memes are one of the most popular types of content used to spread informationonline. They can influence a large number of people through rhetorical andpsychological techniques. The task, Detection of Persuasion Techniques in Textsand Images, is to detect these persuasive techniques in memes. It consists ofthree subtasks: (A) Multi-label classification using textual content, (B)Multi-label classification and span identification using textual content, and(C) Multi-label classification using visual and textual content. In this paper,we propose a transfer learning approach to fine-tune BERT-based models indifferent modalities. We also explore the effectiveness of ensembles of modelstrained in different modalities. We achieve an F1-score of 57.0, 48.2, and 52.1in the corresponding subtasks.

Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble