Rhetorical figures play a major role in our everyday communication as they make text more interesting, more memorable, or more persuasive. Therefore, it is important to computationally detect rhetorical figures to fully understand the meaning of a text. We provide a comprehensive overview of computational approaches to lesser-known rhetorical figures. We explore the linguistic and computational perspectives on rhetorical figures, emphasizing their significance for the domain of Natural Language Processing. We present different figures in detail, delving into datasets, definitions, rhetorical functions, and detection approaches. We identified challenges such as dataset scarcity, language limitations, and reliance on rule-based methods.

翻译：修辞格在日常交流中扮演着重要角色，它们使文本更具趣味性、更易记忆或更具说服力。因此，通过计算手段检测修辞格对于全面理解文本含义至关重要。本文对鲜为人知修辞格的计算检测方法进行了全面综述。我们从语言学和计算视角探讨修辞格，强调其对自然语言处理领域的重要意义。我们详细介绍了不同的修辞格，深入探讨了相关数据集、定义、修辞功能及检测方法。我们指出了当前面临的挑战，包括数据集稀缺、语言局限性以及对基于规则方法的依赖。