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

翻译：本文介绍与EMNLLP 2022联合举行的第三次模拟语言处理讲习班(FigLang 2022)的 " 委婉检测共同任务 ",请与会者调查委婉检测任务:提供输入文本,确定其中是否包含委婉内容;输入数据是一套包含从GloWbE Cample(Davides和Fuchs,2015年)收集的可能有委婉术语的句子(PETs)的句子(PETs,2015年),并附有人文注释,说明其中含有对 " 委婉 " 或 " 字面上 " 使用 " PET " 。