Figurative language analysis, such as sarcasm and irony detection has established itself as one of the popular NLP tasks in the last decade. As the community working on computational approaches to such problems is growing it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, thus facilitating progress in this area. In this paper we report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing (FigLang2020) at ACL 2020.
翻译:在过去十年中,典型的语言分析,如讽刺和讽刺性探测,被确定为全国语言方案最受欢迎的任务之一,随着社区在研究这些问题的计算方法方面日益加强,必须进行基准研究,分析目前的最新技术,从而推动这一领域的进展,在本文件中,我们报告了作为2020年美国语言与语言协会第二届模拟语言处理讲习班(FigLang2020)的一部分,我们共同承担的讽刺性探测任务。