  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.
