Abstract
This paper describes our system for the Constraint 2022 challenge at ACL 2022, whose goal is to detect which entities are glorified, vilified or victimised, within a meme . The task should be done considering the perspective of the meme’s author. In our work, the challenge is treated as a multi-class classification task. For a given pair of a meme and an entity, we need to classify whether the entity is being referenced as Hero, a Villain, a Victim or Other. Our solution combines (ensembling) different models based on Unimodal (Text only) model and Multimodal model (Text + Images). We conduct several experiments and benchmarks different competitive pre-trained transformers and vision models in this work. Our solution, based on an ensembling method, is ranked first on the leaderboard and obtains a macro F1-score of 0.58 on test set. The code for the experiments and results are available at https://bitbucket.org/logicallydevs/constraint_2022/src/master/- Anthology ID:
- 2022.constraint-1.4
- Volume:
- Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Tanmoy Chakraborty, Md. Shad Akhtar, Kai Shu, H. Russell Bernard, Maria Liakata, Preslav Nakov, Aseem Srivastava
- Venue:
- CONSTRAINT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 24–34
- Language:
- URL:
- https://aclanthology.org/2022.constraint-1.4
- DOI:
- 10.18653/v1/2022.constraint-1.4
- Cite (ACL):
- Ludovic Kun, Jayesh Bankoti, and David Kiskovski. 2022. Logically at the Constraint 2022: Multimodal role labelling. In Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations, pages 24–34, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- Logically at the Constraint 2022: Multimodal role labelling (Kun et al., CONSTRAINT 2022)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2022.constraint-1.4.pdf