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        <title>Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings</title>
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            <namePart type="given">Debanjan</namePart>
            <namePart type="family">Ghosh</namePart>
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            <namePart type="given">Beata</namePart>
            <namePart type="family">Beigman Klebanov</namePart>
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            <namePart type="given">Tuhin</namePart>
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    <abstract>This work builds upon the Euphemism Detection Shared Task proposed in the EMNLP 2022 FigLang Workshop, and extends it to few-shot and zero-shot settings. We demonstrate a few-shot and zero-shot formulation using the dataset from the shared task, and we conduct experiments in these settings using RoBERTa and GPT-3. Our results show that language models are able to classify euphemistic terms relatively well even on new terms unseen during training, indicating that it is able to capture higher-level concepts related to euphemisms.</abstract>
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%0 Conference Proceedings
%T Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings
%A Keh, Sedrick Scott
%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 keh-2022-exploring
%X This work builds upon the Euphemism Detection Shared Task proposed in the EMNLP 2022 FigLang Workshop, and extends it to few-shot and zero-shot settings. We demonstrate a few-shot and zero-shot formulation using the dataset from the shared task, and we conduct experiments in these settings using RoBERTa and GPT-3. Our results show that language models are able to classify euphemistic terms relatively well even on new terms unseen during training, indicating that it is able to capture higher-level concepts related to euphemisms.
%R 10.18653/v1/2022.flp-1.24
%U https://aclanthology.org/2022.flp-1.24
%U https://doi.org/10.18653/v1/2022.flp-1.24
%P 167-172

Markdown (Informal)

[Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings](https://aclanthology.org/2022.flp-1.24) (Keh, Fig-Lang 2022)

• Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings (Keh, Fig-Lang 2022)

ACL

• Sedrick Scott Keh. 2022. Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings. In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), pages 167–172, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.