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    <abstract>Euphemism is a type of figurative language broadly adopted in social media and daily conversations. People use euphemism for politeness or to conceal what they are discussing. Euphemism detection is a challenging task because of its obscure and figurative nature. Even humans may not agree on if a word expresses euphemism. In this paper, we propose to employ bidirectional encoder representations transformers (BERT), and relational graph attention network in order to model the semantic and syntactic relations between the target words and the input sentence. The best performing method of ours reaches a Macro-F1 score of 84.0 on the euphemism detection dataset of the third workshop on figurative language processing shared task 2022.</abstract>
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%0 Conference Proceedings
%T Euphemism Detection by Transformers and Relational Graph Attention Network
%A Wang, Yuting
%A Liu, Yiyi
%A Zhang, Ruqing
%A Fan, Yixing
%A Guo, Jiafeng
%Y Ghosh, Debanjan
%Y Beigman Klebanov, Beata
%Y Muresan, Smaranda
%Y Feldman, Anna
%Y Poria, Soujanya
%Y Chakrabarty, Tuhin
%S Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F wang-etal-2022-euphemism
%X Euphemism is a type of figurative language broadly adopted in social media and daily conversations. People use euphemism for politeness or to conceal what they are discussing. Euphemism detection is a challenging task because of its obscure and figurative nature. Even humans may not agree on if a word expresses euphemism. In this paper, we propose to employ bidirectional encoder representations transformers (BERT), and relational graph attention network in order to model the semantic and syntactic relations between the target words and the input sentence. The best performing method of ours reaches a Macro-F1 score of 84.0 on the euphemism detection dataset of the third workshop on figurative language processing shared task 2022.
%R 10.18653/v1/2022.flp-1.11
%U https://aclanthology.org/2022.flp-1.11
%U https://doi.org/10.18653/v1/2022.flp-1.11
%P 79-83

Markdown (Informal)

[Euphemism Detection by Transformers and Relational Graph Attention Network](https://aclanthology.org/2022.flp-1.11) (Wang et al., Fig-Lang 2022)

• Euphemism Detection by Transformers and Relational Graph Attention Network (Wang et al., Fig-Lang 2022)

ACL

• Yuting Wang, Yiyi Liu, Ruqing Zhang, Yixing Fan, and Jiafeng Guo. 2022. Euphemism Detection by Transformers and Relational Graph Attention Network. In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), pages 79–83, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.