Abstract
We present a multi-modal deep learning system for the Multimedia Automatic Misogyny Identification (MAMI) challenge, a SemEval task of identifying and classifying misogynistic messages in online memes. We adapt multitask learning for the multimodal subtasks of the MAMI challenge to transfer knowledge among the correlated subtasks. We also leverage on ensemble learning for synergistic integration of models individually trained for the subtasks. We finally discuss about errors of the system to provide useful insights for future work.
Cite
CITATION STYLE
Tao, C., & Kim, J. J. (2022). taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning. In SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop (pp. 648–653). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.semeval-1.89
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