论文标题
关于委婉检测共享任务的报告
A Report on the Euphemisms Detection Shared Task
论文作者
论文摘要
本文介绍了第三次与EMNLP 2022结合进行的关于形象性语言处理的研讨会（FIGLANG 2022）的委婉说法的共同任务。邀请参与者调查委婉的检测任务：给定的输入文本，确定它是否包含euphemismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismismiss。输入数据是句子的语料库，其中包含从Glowbe语料库中收集的潜在委婉的术语（PET）（Davies和Fuchs，2015年），并被人为宣布，其中包含宠物的委婉语或文字用法。在本文中，我们介绍结果并分析参与团队的共同主题，方法和发现
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
