Abstract
This paper describes the system submitted by our team to the Multilingual Euphemism Detection Shared Task for the Fourth Workshop on Figurative Language Processing (FigLang 2024). We propose a novel model for multilingual euphemism detection, combining contextual and behavior-related features. The system classifies texts that potentially contain euphemistic terms with an ensemble classifier based on outputs from behavior-related fine-tuned models. Our results show that, for this kind of task, our model outperforms baselines and state-of-the-art euphemism detection methods. As for the leader-board, our classification model achieved a macro averaged F1 score of [anonymized], reaching the [anonymized] place.- Anthology ID:
- 2024.figlang-1.10
- Volume:
- Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)
- Month:
- June
- Year:
- 2024
- Address:
- Mexico City, Mexico (Hybrid)
- Editors:
- Debanjan Ghosh, Smaranda Muresan, Anna Feldman, Tuhin Chakrabarty, Emmy Liu
- Venues:
- Fig-Lang | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 73–78
- Language:
- URL:
- https://aclanthology.org/2024.figlang-1.10
- DOI:
- Cite (ACL):
- Fedor Vitiugin and Henna Paakki. 2024. Ensemble-based Multilingual Euphemism Detection: a Behavior-Guided Approach. In Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024), pages 73–78, Mexico City, Mexico (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Ensemble-based Multilingual Euphemism Detection: a Behavior-Guided Approach (Vitiugin & Paakki, Fig-Lang-WS 2024)
- PDF:
- https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.figlang-1.10.pdf