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        <title>Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms</title>
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    <abstract>This paper presents a linguistically driven proof of concept for finding potentially euphemistic terms, or PETs. Acknowledging that PETs tend to be commonly used expressions for a certain range of sensitive topics, we make use of distri- butional similarities to select and filter phrase candidates from a sentence and rank them using a set of simple sentiment-based metrics. We present the results of our approach tested on a corpus of sentences containing euphemisms, demonstrating its efficacy for detecting single and multi-word PETs from a broad range of topics. We also discuss future potential for sentiment-based methods on this task.</abstract>
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%0 Conference Proceedings
%T Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms
%A Lee, Patrick
%A Gavidia, Martha
%A Feldman, Anna
%A Peng, Jing
%Y Pyatkin, Valentina
%Y Fried, Daniel
%Y Anthonio, Talita
%S Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F lee-etal-2022-searching
%X This paper presents a linguistically driven proof of concept for finding potentially euphemistic terms, or PETs. Acknowledging that PETs tend to be commonly used expressions for a certain range of sensitive topics, we make use of distri- butional similarities to select and filter phrase candidates from a sentence and rank them using a set of simple sentiment-based metrics. We present the results of our approach tested on a corpus of sentences containing euphemisms, demonstrating its efficacy for detecting single and multi-word PETs from a broad range of topics. We also discuss future potential for sentiment-based methods on this task.
%R 10.18653/v1/2022.unimplicit-1.4
%U https://aclanthology.org/2022.unimplicit-1.4/
%U https://doi.org/10.18653/v1/2022.unimplicit-1.4
%P 22-32

Markdown (Informal)

[Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms](https://aclanthology.org/2022.unimplicit-1.4/) (Lee et al., unimplicit 2022)

• Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms (Lee et al., unimplicit 2022)

ACL

• Patrick Lee, Martha Gavidia, Anna Feldman, and Jing Peng. 2022. Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms. In Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language, pages 22–32, Seattle, USA. Association for Computational Linguistics.