论文标题
有关2020年讽刺检测共享任务的报告
A Report on the 2020 Sarcasm Detection Shared Task
论文作者
论文摘要
检测讽刺和言语讽刺对于理解人们的实际情感和信念至关重要。因此，讽刺分析领域已成为自然语言处理中的流行研究问题。随着从事讽刺检测的计算方法的社区的增长，必须进行基准研究以分析当前最新的，促进该领域的进展。我们报告了我们作为第二届ACL 2020上关于形象性语言处理（FIGLANG 2020）的第二届讽刺检测任务的共同任务。
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.
