MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms

• URL: http://arxiv.org/abs/2401.14526v1
• Date: Thu, 25 Jan 2024 21:38:30 GMT
• Title: MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
• Authors: Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide Ebenezer Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Jing Peng, Anna Feldman
• Abstract summary: We train a multilingual transformer model (XLM-RoBERTa) to disambiguate potentially euphemistic terms (PETs) in multilingual and cross-lingual settings. We show that multilingual models perform better on the task compared to monolingual models by a statistically significant margin. In a follow-up analysis, we focus on universal euphemistic "categories" such as death and bodily functions among others.
• Score: 10.154915854525928
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages. We train a multilingual transformer model (XLM-RoBERTa) to disambiguate potentially euphemistic terms (PETs) in multilingual and cross-lingual settings. In line with current trends, we demonstrate that zero-shot learning across languages takes place. We also show cases where multilingual models perform better on the task compared to monolingual models by a statistically significant margin, indicating that multilingual data presents additional opportunities for models to learn about cross-lingual, computational properties of euphemisms. In a follow-up analysis, we focus on universal euphemistic "categories" such as death and bodily functions among others. We test to see whether cross-lingual data of the same domain is more important than within-language data of other domains to further understand the nature of the cross-lingual transfer.

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