Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms

• URL: http://arxiv.org/abs/2205.10451v1
• Date: Fri, 20 May 2022 22:21:21 GMT
• Title: Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms
• Authors: Patrick Lee and Martha Gavidia and Anna Feldman and Jing Peng
• Abstract summary: 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 distributional similarities to select and filter phrase candidates from a sentence. 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.
• Score: 2.666791490663749
• License: http://creativecommons.org/licenses/by/4.0/
• 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 distributional 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.

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