A Report on the Euphemisms Detection Shared Task

Patrick Lee, Anna Feldman, Jing Peng

Abstract:

This paper presents The Shared Task on Euphemism Detection for the Third Workshop
on Figurative Language Processing (FigLang
2022) held in conjunction with EMNLP 2022.
Participants were invited to investigate the euphemism detection task: given input text, identify whether it contains a euphemism. The input data is a corpus of sentences containing
potentially euphemistic terms (PETs) collected
from the GloWbE corpus (Davies and Fuchs,
2015), and are human-annotated as containing
either a euphemistic or literal usage of a PET.
In this paper, we present the results and analyze
the common themes, methods and findings of
the participating teams.