taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning

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taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning
Title:
taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning
Other Titles:
16th International Workshop on Semantic Evaluation (SemEval-2022)
DOI:
Publication Date:
14 July 2022
Citation:
Tao, C., and Kim, J. 2022. taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning. 16th International Workshop on Semantic Evaluation (SemEval-2022)
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.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the A-STAR - AME Programmatic Funding Scheme
Grant Reference no. : A18A2b0046
Description:
ISBN:
978-1-955917-80-3