Henna Paakki
2024
Ensemble-based Multilingual Euphemism Detection: a Behavior-Guided Approach
Fedor Vitiugin
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Henna Paakki
Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)
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.
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