Document Type
Conference Proceeding
Publication Date
1-1-2022
Journal / Book Title
2022 Language Resources and Evaluation Conference Lrec 2022
Abstract
Euphemisms have not received much attention in natural language processing, despite being an important element of polite and figurative language. Euphemisms prove to be a difficult topic, not only because they are subject to language change, but also because humans may not agree on what is a euphemism and what is not. Nonetheless, the first step to tackling the issue is to collect and analyze examples of euphemisms. We present a corpus of potentially euphemistic terms (PETs) along with example texts from the GloWbE corpus. Additionally, we present a subcorpus of texts where these PETs are not being used euphemistically, which may be useful for future applications. We also discuss the results of multiple analyses run on the corpus. Firstly, we find that sentiment analysis on the euphemistic texts supports that PETs generally decrease negative and offensive sentiment. Secondly, we observe cases of disagreement in an annotation task, where humans are asked to label PETs as euphemistic or not in a subset of our corpus text examples. We attribute the disagreement to a variety of potential reasons, including if the PET was a commonly accepted term (CAT).
Montclair State University Digital Commons Citation
Gavidia, Martha; Lee, Patrick; Feldman, Anna; and Peng, Jing, "CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms" (2022). Department of Computer Science Faculty Scholarship and Creative Works. 672.
https://digitalcommons.montclair.edu/compusci-facpubs/672
Rights
© European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0