Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in natural language processing. As the community working on computational approaches for sarcasm detection is growing, it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, facilitating progress in this area. We report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing (FigLang 2020) at ACL 2020.
翻译：发现讽刺和言语讽刺对于理解人们的实际感情和信仰至关重要,因此,讽刺分析领域已成为自然语言处理方面的一个流行研究问题,随着从事讽刺探测计算方法的社区在不断增加,必须进行基准研究,分析目前的最新技术,促进这一领域的进展。我们报告了作为2020年ACLL第二期模拟语言处理讲习班(2020年FigLang)的一部分,我们共同执行的讽刺探测任务。
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