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.

对于计算机来识别修辞手法是非常重要的，本论文提供了对于较少人知悉的修辞手法的计算方法的全面概述，突出了从语言和计算的角度看待修辞手法的重要性，详细介绍了不同的修辞手法，包括数据集、定义、修辞功能和检测方法，同时也指出了数据集稀缺、语言限制和基于规则方法的依赖等挑战。