Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework
Ahmed Mahran, Carlo Alessandro Borella, Konstantinos Perifanos
Abstract
In this paper we describe our work towards building a generic framework for both multi-modal embedding and multi-label binary classification tasks, while participating in task 5 (Multimedia Automatic Misogyny Identification) of SemEval 2022 competition. Since pretraining deep models from scratch is a resource and data hungry task, our approach is based on three main strategies. We combine different state-of-the-art architectures to capture a wide spectrum of semantic signals from the multi-modal input. We employ a multi-task learning scheme to be able to use multiple datasets from the same knowledge domain to help increase the model’s performance. We also use multiple objectives to regularize and fine tune different system components.- Anthology ID:
- 2022.semeval-1.93
- Volume:
- Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
- Month:
- July
- Year:
- 2022
- Address:
- Seattle, United States
- Editors:
- Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 679–688
- Language:
- URL:
- https://aclanthology.org/2022.semeval-1.93
- DOI:
- 10.18653/v1/2022.semeval-1.93
- Cite (ACL):
- Ahmed Mahran, Carlo Alessandro Borella, and Konstantinos Perifanos. 2022. Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 679–688, Seattle, United States. Association for Computational Linguistics.
- Cite (Informal):
- Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework (Mahran et al., SemEval 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.semeval-1.93.pdf
- Code
- ahmed-mahran/mami2022
- Data
- Hateful Memes