  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
