A Report on the Euphemisms Detection Shared Task

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, 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.

本文介绍了与2022年自然语言处理实证方法会议（EMNLP 2022）同期举办的第三届比喻语言处理研讨会（FigLang 2022）中的委婉语检测共享任务。参与者受邀研究委婉语检测任务：给定输入文本，识别其中是否包含委婉语。输入数据是一个从全球英语语料库（GloWbE）中收集的包含潜在委婉语术语（PETs）的句子语料库，并且经过人工标注，注明其中的PET是委婉用法还是字面用法。在本文中，我们展示了结果，并分析了参与团队的共同主题、方法和研究发现。